Sentiment Analysis of Digital India using Lexicon Approach

被引:0
|
作者
Tiwari, Dimple [1 ]
Singh, Nanhay [1 ]
机构
[1] Technol & Res Govt NCT Delhi, Ambedkar Inst Adv Commun, New Delhi, India
关键词
Digital India; Sentiment Analysis; Lexicon Approach; Word Cloud;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The sentiment analysis technique is come into view as a very useful medium to scrutinize the reviews and opinion of peoples. In current modern era peoples are showing their reviews with the help of social media. Digital India is most current topic for the discussion in India. It is novel idea and feasible solution of our daily routine in this rapid economic growth. The Indian Prime Minister has taken some feasible steps for Digital India. It is required to know the view and opinion of people on this Digital India scheme. In this paper, we propose a framework for analyzing the sentiments of peoples of Global India. Data is collected from the YouTube, select various videos and extract the comments that are given on those videos to analyze the sentiments. We select Lexicon approach to implement sentiment analysis with a help of The R language. This technique works on the basis of presumption of total polarity. Just instruct the Lexis with the help of group and collection of words. We also present Word Cloud of user comments.
引用
收藏
页码:1189 / 1193
页数:5
相关论文
共 50 条
  • [41] Sentiment Analysis of Amazon Book Review Data Using Lexicon Based Analysis
    Khatun, Fatema
    Chowdhury, S. M. Mazharul Hoque
    Tumpa, Zerin Nasrin
    Rabby, Sk Fazlee
    Hossain, Syed Akhter
    Abujar, Sheikh
    [J]. COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING, 2020, 1108 : 1303 - 1309
  • [42] Lexicon-based sentiment analysis in texts using Formal Concept Analysis
    Ojeda-Hernandez, Manuel
    Lopez-Rodriguez, Domingo
    Mora, Angel
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2023, 155 : 104 - 112
  • [43] Sentiment Analysis of Public Complaints Using Lexical Resources Between Indonesian Sentiment Lexicon and Sentiwordnet
    Lailiyah, M.
    Sumpeno, S.
    Purnama, I. K. E.
    [J]. 2017 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA), 2017, : 307 - 312
  • [44] Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
    Dashtipour, Kia
    Gogate, Mandar
    Gelbukh, Alexander
    Hussain, Amir
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2022, 12 (01)
  • [45] Sentiment Analysis on Turkish Social Media Shares through Lexicon Based Approach
    Karamollaoglu, Hamdullah
    Dogru, Ibrahim Alper
    Dorterler, Murat
    Utku, Anil
    Yildiz, Oktay
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2018, : 45 - 49
  • [46] Tweets sentiment analysis using multi-lexicon features and SMO
    Lijo, V. P.
    Seetha, Hari
    [J]. INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS, 2021, 14 (05) : 476 - 485
  • [47] Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
    Kia Dashtipour
    Mandar Gogate
    Alexander Gelbukh
    Amir Hussain
    [J]. Social Network Analysis and Mining, 2022, 12
  • [48] Sentiment Analysis of Twitter Data: Case Study on Digital India
    Mishra, Prerna
    Rajnish, Ranjana
    Kumar, Pankaj
    [J]. 2016 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY (INCITE) - NEXT GENERATION IT SUMMIT ON THE THEME - INTERNET OF THINGS: CONNECT YOUR WORLDS, 2016,
  • [49] Building Thesaurus Lexicon using Dictionary-Based Approach for Sentiment Classification
    Park, Seongik
    Kim, Yanggon
    [J]. 2016 IEEE/ACIS 14TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH, MANAGEMENT AND APPLICATIONS (SERA), 2016, : 39 - 44
  • [50] Towards enhancement of a lexicon-based approach for Saudi dialect sentiment analysis
    Assiri, Adel
    Emam, Ahmed
    Al-Dossari, Hmood
    [J]. JOURNAL OF INFORMATION SCIENCE, 2018, 44 (02) : 184 - 202