Sentiment Analysis using tidytext package in R

被引:0
作者
Priyavrat [1 ]
Sharma, Nonita [1 ]
机构
[1] Dr BR Ambedkar Natl Inst Technol, Comp Sci & Engn Dept, Jalandhar, Punjab, India
来源
2018 FIRST INTERNATIONAL CONFERENCE ON SECURE CYBER COMPUTING AND COMMUNICATIONS (ICSCCC 2018) | 2018年
关键词
sentiment analysis; tidytext; R; CRAN; harry potter;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Sentiment analysis is all about finding polarity (positivity and negativity) of a given text which can be a single word, a single sentence, a single document and maybe a whole book, novel or magazine. In this paper, sentiment analysis of the harry potter series is done using "tidytext" package in R. The "tidytext" package includes three lexicons and this paper discusses sentiment analysis results encountered by them on same data. This study has analyzed results of all three lexicons for the harry potter series and found that overall sentiments of the harry potter series are negative on the basis of positive and negative words present in the series.
引用
收藏
页码:577 / 580
页数:4
相关论文
共 8 条
  • [1] Techniques and Applications for Sentiment Analysis
    Feldman, Ronen
    [J]. COMMUNICATIONS OF THE ACM, 2013, 56 (04) : 82 - 89
  • [2] Kumar Akshi, 2012, International Journal of Intelligent Systems and Applications, V4, P1, DOI 10.5815/ijisa.2012.10.01
  • [3] Li S., 2013, INT J COMPUTER APPL, V80
  • [4] Sentiment analysis algorithms and applications: A survey
    Medhat, Walaa
    Hassan, Ahmed
    Korashy, Hoda
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2014, 5 (04) : 1093 - 1113
  • [5] Rajput R., 2016, IJCSMC, V5, P159
  • [6] A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
    Ravi, Kumar
    Ravi, Vadlamani
    [J]. KNOWLEDGE-BASED SYSTEMS, 2015, 89 : 14 - 46
  • [7] Lexicon-Based Methods for Sentiment Analysis
    Taboada, Maite
    Brooke, Julian
    Tofiloski, Milan
    Voll, Kimberly
    Stede, Manfred
    [J]. COMPUTATIONAL LINGUISTICS, 2011, 37 (02) : 267 - 307
  • [8] Wilson T, 2004, PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE, P761