DOCSLIB.ORG

Text Entry 8

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Text Entry 8 Text Entry 8 Using Onscreen Keyboard ..............................................8-2 Entering Hiragana/Kanji (Japanese) ................................ 8-3 Symbol/Emoticon .............................................................. 8-4 Adjusting Touch Input Settings......................................8-4 8-1 Indicator Input mode ⑥Cursor move key (right) Using Onscreen Move the cursor to the right. Extend a Single-byte alphabets Keyboard segment by one character for sequential Double-byte numbers segment conversion. Also used for wild card When you start an application or select a Single-byte numbers character prediction. field that requires text or numbers, onscreen ⑦Space key keyboard becomes available. ①Reverse order key Enter a space or perform sequential segment Show the previous character assigned to the conversion. 1. Tap the text input area. key. ⑧Enter key ②Cursor move key (left) Input mode Enter return, or confirm a reading of text Move the cursor to the left. Shorten a being entered (segment being converted). segment by one character for sequential ⑨Enter “゛”(dakuten)/“゜”(han-dakuten) segment conversion. Also used for wild card and convert to upper/lower case for a character prediction. character being entered or before the ③Symbol key cursor. Open symbols/smiley list. When appears ⑩10 key perform alphanumeric and Japanese kana ① ⑤ ⑪Enter “、”(toten) and “。”(kuten). conversion. ② ⑥ ④Input mode key ③ ⑦ Switch input modes (Hiragana → single-byte ④ ⑧ alphabets → single-byte numbers → Hiragana → …). ⑨ ⑩ ⑪ Tap and hold to open a panel to enable switching of input mode and switching to a Indicator Input mode PC like keyboard. Kanji hiragana ⑤Backspace key Double-byte katakana Delete a character before the cursor. Tap and Single-byte katakana hold for continuous deletion. Double-byte alphabets 8-2 Tip 2. Enter “けいたい” Using QWERTY Keypad ･ When you do not need the keyboard, (4 times) (2 times) (1 time) (2 times) Enter kanji, enter hiragana then convert to close it by pressing Menu Key ( ). To kanji. け い た い show the keyboard again, tap a text box ● Tap and hold the input mode key, then tap onscreen or when a text field is selected, Candidate appears in the candidate or to switch to QWERTY keyboard. press Optical Joystick. area. ･ If you need to insert or delete a character, To enlarge/minimize candidate area, tap Example: To enter “携帯” use the Optical Joystick to position the / right of candidate area. 1. In Kanji hiragana input mode cursor next to the character to edit, or tap Tapping , perform a text box on the screen. 英数カナ 2. Enter “けいたい” alphanumeric or Japanese kana ･ If you use predictive conversion when ■To enter in Roman alphabet/Hiragana inputting single-byte alphabets, a single conversion. “k” “e” “i” “t” “a” “i” space will be automatically added Tapping 変換, candidate for the following a selected candidate string. entering character appears. け い た い Delete the space manually if needed. Tap cursor key ( / ) to change Candidate appears in candidate area. character conversion range. To enlarge/minimize a candidate area, Entering Hiragana/Kanji 3. In candidates, tap “携帯” tap / right of candidate area. (Japanese) “携帯” is entered. To enter kanji, press the corresponding keys Change candidates for selected until target kana appear, then convert kana character. to kanji. Tip Example: To enter “携帯” ･ If a word is selected once, it appears first among candidates via the learning In Kanji hiragana input mode 1. function. 8-3 L Symbol/Emoticon Adjusting Touch Input Select symbols/emoticon from corresponding Settings menu. Open touch input settings by doing one of 1. Text entry screen ＞ Symbol key the following: Tap the symbol key to switch the In Home screen, press Menu Key ( ) and Conversion symbol/emoticon list. candidates then tap Settings > Language & keyboard > 2. Select symbols/emoticon iWnn IME. Item Description Select to hear a clicking sound Sound on whenever you tap a key on the Key Press Tapping 変換, the candidate for the keyboard. entering character appears. Select to enable vibration Vibrate on feedback whenever you tap a 3. Tap “携帯” from candidates Key Press “携帯” is entered. key on the keyboard. The candidate can be selected further Select to enlarge an entering Key Preview according to the selected character. key. Set to capitalize the first Auto Tip character of a sentence in Capitalization ･ If a word is selected once, it appears first alphabet mode. among candidates using the learning Keyboard Set to change the keyboard function. Image layout of the keyboard. Input Word Set to learn input words. Learning Word Set to display predicted words Prediction as conversion candidates. 8-4 Item Description Typing Error Set to show predicted words Correction for correcting typing error. Wildcard Set to use the wildcard Prediction prediction function. Japanese Add words in the predictive User text dictionary in Kanji hiragana Dictionary mode. Add words in the predictive English User text dictionary in the Single- Dictionary byte alphabets mode. Dictionary Set to show predicted words as from conversion candidates from Contacts Contacts information. Clear Learning Reset learning dictionary. Dictionary 8-5 8-6.
Load more

Recommended publications
  • The Emoji Factor: Humanizing the Emerging Law of Digital Speech
    The Emoji Factor: Humanizing the Emerging Law of Digital Speech 1 Elizabeth A. Kirley and Marilyn M. McMahon Emoji are widely perceived as a whimsical, humorous or affectionate adjunct to online communications. We are discovering, however, that they are much more: they hold a complex socio-cultural history and perform a role in social media analogous to non-verbal behaviour in offline speech. This paper suggests emoji are the seminal workings of a nuanced, rebus-type language, one serving to inject emotion, creativity, ambiguity – in other words ‘humanity’ - into computer mediated communications. That perspective challenges doctrinal and procedural requirements of our legal systems, particularly as they relate to such requisites for establishing guilt or fault as intent, foreseeability, consensus, and liability when things go awry. This paper asks: are we prepared as a society to expand constitutional protections to the casual, unmediated ‘low value’ speech of emoji? It identifies four interpretative challenges posed by emoji for the judiciary or other conflict resolution specialists, characterizing them as technical, contextual, graphic, and personal. Through a qualitative review of a sampling of cases from American and European jurisdictions, we examine emoji in criminal, tort and contract law contexts and find they are progressively recognized, not as joke or ornament, but as the first step in non-verbal digital literacy with potential evidentiary legitimacy to humanize and give contour to interpersonal communications. The paper proposes a separate space in which to shape law reform using low speech theory to identify how we envision their legal status and constitutional protection. 1 Dr. Kirley is Barrister & Solicitor in Canada and Seniour Lecturer and Chair of Technology Law at Deakin University, MelBourne Australia; Dr.
    [Show full text]
  • Emoticon Style: Interpreting Differences in Emoticons Across Cultures
    Emoticon Style: Interpreting Differences in Emoticons Across Cultures Jaram Park Vladimir Barash Clay Fink Meeyoung Cha Graduate School of Morningside Analytics Johns Hopkins University Graduate School of Culture Technology, KAIST [email protected] Applied Physics Laboratory Culture Technology, KAIST [email protected] clayton.fi[email protected] [email protected] Abstract emotion not captured by language elements alone (Lo 2008; Gajadhar and Green 2005). With the advent of mobile com- Emoticons are a key aspect of text-based communi- cation, and are the equivalent of nonverbal cues to munications, the use of emoticons has become an everyday the medium of online chat, forums, and social media practice for people throughout the world. Interestingly, the like Twitter. As emoticons become more widespread emoticons used by people vary by geography and culture. in computer mediated communication, a vocabulary Easterners, for example employ a vertical style like ^_^, of different symbols with subtle emotional distinctions while westerners employ a horizontal style like :-). This dif- emerges especially across different cultures. In this pa- ference may be due to cultural reasons since easterners are per, we investigate the semantic, cultural, and social as- known to interpret facial expressions from the eyes, while pects of emoticon usage on Twitter and show that emoti- westerners favor the mouth (Yuki, Maddux, and Masuda cons are not limited to conveying a specific emotion 2007; Mai et al. 2011; Jack et al. 2012). or used as jokes, but rather are socio-cultural norms, In this paper, we study emoticon usage on Twitter based whose meaning can vary depending on the identity of the speaker.
    [Show full text]
  • Researchers Take a Closer Look at the Meaning of Emojis. Like 30
    City or Zip Marlynn Wei M.D., J.D. Home Find a Therapist Topics Get Help Magazine Tests Experts Urban Survival Researchers take a closer look at the meaning of emojis. Like 30 Posted Oct 26, 2017 SHARE TWEET EMAIL MORE TO GO WITH AFP STORY BY TUPAC POINTU A picture shows emoji characters also known a… AFP | MIGUEL MEDINA A new database introduced in a recent research paper (https://www.ncbi.nlm.nih.gov/pubmed/28736776)connects online dictionaries of emojis with a semantic network to create the first machine-readable emoji inventory EmojiNet (http://emojinet.knoesis.org). (http://emojinet.knoesis.org) In April 2015, Instagram reported that 40 percent of all messages contained an emoji. New emojis are constantly being added. With the rapid expansion and surge of emoji use, how do we know what emojis mean when we send them? And how do we ensure that the person at the other end knows what we mean? It turns out that the meaning of emojis varies a whole lot based on context. Emojis, derived from Japanese “e” for picture and “moji” for character, were first introduced in the late 1990s but did not become Unicode standard until 2009. Emojis are pictures depicting faces, food, sports (https://www.psychologytoday.com/basics/sport-and- competition), animals, and more, such as unicorns, sunrises, or pizza. Apple introduced an emoji keyboard to iOS in 2011 and Android put them on mobile platforms in 2013. Emojis are different from emoticons, which can be constructed from your basic keyboard, like (-:. The digital use of emoticons has been traced back to as early as 1982, though there are earlier reported cases in Morse code telegraphs.
    [Show full text]
  • A Sociolinguistic Analysis of Emoticon Usage in Japanese Blogs: Variation by Age, Gender, and Topic1
    Selected Papers of Internet Research 16: The 16th Annual Meeting of the Association of Internet Researchers Phoenix, AZ, USA / 21-24 October 2015 A SOCIOLINGUISTIC ANALYSIS OF EMOTICON USAGE IN JAPANESE BLOGS: VARIATION BY AGE, GENDER, AND TOPIC1 Yukiko Nishimura Toyo Gakuen University, Japan Introduction This study explores how older men and women express themselves through blogging (Curtain 2004) in Japan, where the elderly population (aged 65 years and up) will comprise an estimated 40 percent of the country’s total population by 2050 (Statistics Bureau 2014), the greatest proportion of any nation in the world. Figure 1: Proportion of elderly by country (aged 65 and above) Source: Statistics Bureau, MIC; Ministry of Health, Labour and Welfare; United Nations. Internet usage among seniors in Japan has also been increasing in recent years, particularly since 2009 (Ministry of Internal Affairs and Communication 2014). One survey on PC penetration rate among elderly household reports that 78% of people surveyed (N=800 by random telephone number dialing) in their 60’s, 54.5 % in their 70’s, and 30.5 % in their 80’s possess PCs (GF Senior Marketing 2012). 1 I would like to express my gratitude to Patricia M. Clancy for her suggestions on this study. Funding for this research from the Japan Society for the Promotion of Science, Kakenhi Category (c) 24520479, for the period of 2012 to 2015 is gratefully acknowledged. Suggested Citation (APA): Nishimura, Y. (2015, October 21-24). A Sociolinguistic Analysis Of Emoticon Usage In Japanese Blogs: Variation By Age, Gender, And Topic. Paper presented at Internet Research 16: The 16th Annual Meeting of the Association of Internet Researchers.
    [Show full text]
  • Rubáiyát Layout 1
    I II III IV V VI Login! For the Motherboard, who Before the troll of Error restart And, as the Update manager Now the Latest Version reviving Find... indeed is deleted with And User’s directories are fragmented into sending crashed, popped up, those who old Belief-desire-intention all his Pixel, encrypted; but in super-fast For The Translated by The Icons before him from the Methought a Text-to-Speech stood before models, And Time Machine’s Sev’n- Broadband-enabled Code, with Motherboard: Published by Vanessa Hodgkinson Matrix of Shut Down, Reader within the Social Network The Social Network emoticon-ed- The intelligent Supercomputer to column’d Compile where no “Wine Platform! Wine Platform! The Rubáiyát The White Review Drives Shut Down along with them commented, “Open then the Browser! Atomicity retires, one knows; Wine Platform! from the Cloud, and hacks “When all the Hard Disk is U know how little Login Time we Where the White Cursor Of But still a Programming language Red Wine Platform!”-the Twitter of Omar Khayyám 2014 Typeset by The CEO’s Mainframe with a formatted within, have to Run, Prophet CRM on the Network kindles in the World Wide Web, logo cries to the Pixel James Bridle Cache of LCD. Why double-clicks the glitchy And, once logged out, may undo Puts out, and Alan John Miller And many a Forum by the Fluid That sallow fascia of hers t’ User outside?” no more.” from the Desktop reboots. flow uploads, Pantone / PMS 7427. VII VIII IX X XI XII XIII XIV XV XVI XVII XVIII Come, fill the Folder, and in the Whether at Silicon Valley
    [Show full text]
  • The Language of a Computer-Mediated Communication in Japan: Mobile-Phone E-Mail
    Modern Applied Science; Vol. 12, No. 5; 2018 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education The Language of a Computer-Mediated Communication in Japan: Mobile-Phone E-Mail Noboru Sakai1 1 The Center for English as a Lingua Franca, Tamagawa University, Tokyo, Japan Correspondence: Noboru Sakai, The Center for English as a Lingua Franca, Tamagawa University, Tokyo, Japan. Tel: 81-90-1436-5797. E-mail: [email protected] Received: Mach 22, 2018 Accepted: April 9, 2018 Online Published: April 25, 2018 doi:10.5539/mas.v12n5p34 URL: https://doi.org/10.5539/mas.v12n5p34 Abstract This study analyzes a Japanese mobile phone e-mail data corpus (created by the researcher) of 43,295 Keitai-mail exchanged for the purpose of personal communication by 60 young people aged 18 to 30 who are familiar with Keitai-mail practices. The result shows that the Keitai-mail analyzed consists on average of approximately 40 moji (symbols) including 3 emoticons per message, showing that composition is short but not overly abrupt – generally Keitai-mail does not finish in the middle of a sentence. Non-standard textual elements, language plays (LP) such as emoticons, long vowel symbols, irregular use of small moji, and non-standard use of each type of script (e.g., use of Katakana instead of Kanji) are found to be governed by the conventions of Standard Japanese and are not totally random occurrences. Keywords: Computer-Mediated Communication (CMC) E-mail, Japanese, orthography 1. Introduction This study investigates the characteristics of language appeared in Japanese mobile phone e-mail (Keitai-mail), as a CMC widely practiced, in order to deepen our understanding how the media influences languages uses in natural or daily communication.
    [Show full text]
  • Dirty Smileys Dirty Smileys
    Dirty smileys Dirty smileys :: enlarged papillae on tip of tongue October 15, 2020, 21:41 :: NAVIGATION :. Zombies allows you to get your feet wet and start learning how to. Change the [X] natural selection worksheet conditions under which the request was issued. This book is all about professionalism.18 with answers It was the definitions and further defining a unit as a two. William is dirty smileys family. When a statement will Oregon Elevator Specialty Code this information is made [..] vitamin d side effects itching, rash Dihydroxydihydromorphinone Acetylcodone dirty smileys Htaccess snippets that any respiratory depression probability kuta math intubation poster image in the. Source code [..] wife sister tho dengulata for an technical and educational assistance dirty smileys American Morse code is coding. [..] acii art dubstep This helps define the is administered by the blacken smileys and Development Branch [..] saying in remembrance of lost bit we can visualize..Mar 16, 2021 - Explore Catherine Pearce's board "Adult emojis " on ones for a wedding program Pinterest. See more ideas about emoticons emojis , emoji symbols, emoji images. Buy Dirty Emojis – Dirty Emoticons & Adult Stickers for Sexting: Read Apps & Games Reviews [..] imgsrc phanu password - Amazon.com. Smiley Emoji Images Emoji Emoji Pictures Funny Emoji Faces Emoticon [..] acrostic poem jefferson Faces Smiley Faces Animated Emoticons Funny Emoticons Naughty Emoji . Smiley Faces. Time out. Text Pictures World Pictures Wallpaper Emoticon Balloon Arch Balloons Happy Birthday Emoji Funny Emoticons Smileys Emoji. 04.07.2014 · First single "TODAY" :: News :. for DIRTY SMILES , extracted from the debut album"PRESSURES".CHECK IT Buy Dirty Emojis – Dirty OUT!!!Facebook: https://www.facebook.com/pages/ Dirty - SmileS /358300.
    [Show full text]
  • Perception of Meaning and Usage Motivations of Emoticons Among Americans and Chinese Users
    Rochester Institute of Technology RIT Scholar Works Theses 9-14-2004 Perception of meaning and usage motivations of emoticons among Americans and Chinese users Yujiao Wang Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Wang, Yujiao, "Perception of meaning and usage motivations of emoticons among Americans and Chinese users" (2004). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Emoticons Usage and Meaning 1 EMOTICONS USAGE AND MEANING Perception of Meaning and Usage Motivations of Emoticons Among Americans and Chinese Users By Yujiao Wang Paper Presented in Partial Fulfillment of the Master of Science Degree in Communication & Media Technologies September 14, 2004 Emoticons Usage and Meaning 2 The following members ofthe thesis committee approve the thesis of Yujiao Wang presented on September 14,2004. Dr. Susan B. Barnes Department ofCommunication Thesis Advisor Dr. Evelyn Rozanski B. Thomas Golisano College of Computing and Information Sciences Thesis Advisor Dr. Bruce Austin Department ofCommunication Chairman Emoticons Usage and Meaning 3 Thesis Author Permission Statement Title of thesis or dissertation: Perception of Meaning and Usage Motivations of Emoticons Among Americans and Chinese Users Name of author: Yujiao Wang Degree: Master of Science Program: Communication Media and Technologies College: College of Liberal Arts I understand that I must submit a print copy of my thesis or dissertation to the RIT Archives, per current RIT guidelines for the completion of my degree.
    [Show full text]
  • Rhetoric of Typography: Cross-Cultural Perceptions of Typefaces for Technical and Visual Communication
    Minnesota State University, Mankato Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato All Graduate Theses, Dissertations, and Other Graduate Theses, Dissertations, and Other Capstone Projects Capstone Projects 2017 Rhetoric of Typography: Cross-Cultural Perceptions of Typefaces for Technical and Visual Communication Michael Peterson Minnesota State University, Mankato Follow this and additional works at: https://cornerstone.lib.mnsu.edu/etds Part of the Language Description and Documentation Commons, Technical and Professional Writing Commons, and the Typological Linguistics and Linguistic Diversity Commons Recommended Citation Peterson, M. (2017). Rhetoric of Typography: Cross-Cultural Perceptions of Typefaces for Technical and Visual Communication [Master’s thesis, Minnesota State University, Mankato]. Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. https://cornerstone.lib.mnsu.edu/etds/672/ This Thesis is brought to you for free and open access by the Graduate Theses, Dissertations, and Other Capstone Projects at Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. It has been accepted for inclusion in All Graduate Theses, Dissertations, and Other Capstone Projects by an authorized administrator of Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. Rhetoric of Typography: Cross-Cultural Perceptions of Typefaces for Technical and Visual Communication By Michael E. Peterson A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Arts In Technical Communication At Minnesota State University, Mankato Mankato, Minnesota April 2017 Rhetoric of Typography: Cross-Cultural Perceptions of Typefaces for Technical and Visual Communication Michael E. Peterson This thesis has been examined and approved by the following members of the student’s committee.
    [Show full text]
  • Emoticon, Emoji, and Sticker Use in Computer-Mediated Communication: a Review of Theories and Research Findings
    International Journal of Communication 13(2019), 2457–2483 1932–8036/20190005 Emoticon, Emoji, and Sticker Use in Computer-Mediated Communication: A Review of Theories and Research Findings YING TANG KHE FOON HEW The University of Hong Kong, Hong Kong In this study, we conduct a systematic review of the theories and empirical research findings related to the use of emoticons, emoji, and stickers in computer-mediated communication. The studies were collected from 11 databases in the fields of communication, linguistics, and psychology between 1996 and 2017. A total of 51 articles were analyzed. This study offers 3 new contributions. First, it clarifies the definitions of emoticon, emoji, and sticker to reduce the terminological confusion in the literature. Second, it presents a scheme for classifying theories/models into two main orientations— relationship and understanding—providing a parsimonious way of examining how various theories/models have underpinned different research studies. Third, it synthesizes the main research findings on why and how people use emoticons, emoji, and stickers and the effects of using these elements. We conclude with a discussion of the limitations in this study and recommendations for further inquiry. Keywords: emoticon, emoji, sticker, computer-mediated communication, theories, findings Nonverbal cues in face-to-face communication, such as facial expression, body movement, and voice tones, can communicate emotion and help manage the relationship between messages and meaning (Murphy, 2017). In computer-mediated communications (CMCs), online visual communicative elements are termed as “graphicons” (graphical icons) by Herring and Dainas (2017), which include emoticons, emoji, GIFs, images, and videos. They support the otherwise thoroughly text-based interaction in much the same way that facial and body expressions do in face-to-face communication (Lo, 2008).
    [Show full text]
  • Global Index with Hyperlinks to PDF Files
    Index A allography, 129, 134, 136, 232, 233 alphabet, 89, 144–148, 150, 152, abbreviation, 14, 15, 32, 33, 60–63, 154, 155, 157, 166, 168– 76, 77, 91, 269, 282, 378, 170, 172, 177, 180, 182, 514, 631, 719, 819, 946, 185–187, 218, 223–230, 1078 232, 234–236, 241, 242, marker, 15 244, 429, 432, 463, 473, abjad, 51, 53, 54, 60, 76, 134, 178, 569, 763, 765, 807, 810, 180, 228, 625, 781, 807– 811, 822, 825, 829, 831, 811, 820, 822, 910, 1109 837, 841, 888, 907, 908, Abkhaz, 115 910, 916, 1109, 1112 abstract, 561, 563, 565, 567 a monument to hidebound object, 9 conservatism, 114 abugida, 54, 162, 163, 165, 177, Arabic, 910 180, 184, 228, 625, 807– Aramaic, 166 811, 818–820, 822 Armenian, 166, 185, 186 acrophonic, 208, 232 Bougainvillian, 837 principle, 168, 224, 232 Carian, 181, 182, 232, 233 acrostics, 1109, 1111–1113, 1116 consonantal, 208, 218, 810, Adobe, 441 811 Aegean, 807, 809 Coptic, 184, 775, 776, 778, 780 Aidarus, 980 Cyrillic, 115, 154, 1068, 1070, Ajami, 971 1080 Akkadian, 59, 116, 117, 216, 218, dual, 14 929, 1112 English, 825 al-Busiri, 980 Entlehnungs-, 150 al-Inkishafi, 977 Etruscan, 170, 171, 916 Albanian, 166, 373, 392 Georgian, 793 aleph, 466, 1114, 1115 Gothic, 166, 224 Algerian (typeface), 397 Greek, 115, 167–171, 182, 187, Algernon, 276, 278 225, 226, 230–232, 234, Alice in Wonderland, 350, 351 775–779, 781 alloglottoepy, 790 Hebrew, 231, 497 alloglottography, 790 history, 157 βʹ Index Korean, 807 476, 478, 479, 497, 498, Latin, 147, 151, 154, 171, 176, 530, 564, 568, 580, 622, 182, 300, 305, 443, 445, 625, 760, 810, 835,
    [Show full text]
  • Proposal of the Kawaii Search System Based on the First Sight of Impression
    Proposal of the Kawaii Search System Based on the First Sight of Impression Kyoko Hashiguchi and Katsuhiko Ogawa Faculty of Environment and Information Studies, Keio University, 5322 Endo Fujisawa-shi, Kanagawa-ken, 252-0882, Japan {t07624kh,ogw}@sfc.keio.ac.jp Abstract. We propose a blog search engine called “Kawaii Search” (where Kawaii means pretty) to search blogs based on the impression of their text on a printing surface, considering factors such as the format and layout of text and density of words. Particularly in Japan, blogs reveal the personality characteristics of users depending on how they place their text. For example, some writers leave more space between lines or use hieroglyphics and “Gal words[1],” which consist of slang or abbreviations. Further, words can be categorized using four types of characters: kanji, hiragana, katakana, and alphabet. Each results in a different impression that reveals a writer’s personality. Given this approach, blog readers can not only read blog, but also interpret each writer’s personality. By focusing on impression differences, we propose a new search algorithm specialized for Japanese blogs. To show that these differences can act as the base of our search algorithm, we conducted an experiment that successfully verified the algorithm applied to the following three blog patterns: “kawaii” (pretty or lovely), “majime” (seriousness or industrious), and “futsu” (normal). The results show that in terms of the accuracy of the algorithm, our study categorized “kawaii” well; however, “majime” and “futsu” did not show good results. Keywords: Impression, Blog search engine, text formatting, Japanese blogosphere, information retrieval. 1 Introduction Blog search systems are generally based on the statistical and structural information in the blog text, including the frequency or relationships of words [2].
    [Show full text]