Social media opinion analysis for Indian political diplomats
| Autor: | Gaurav Dubey, Shilpi Chawla, Kirandeep Kaur |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Value (ethics)
0209 industrial biotechnology Microblogging Computer science media_common.quotation_subject Sentiment analysis Media studies Passion 02 engineering and technology World Wide Web Politics 020901 industrial engineering & automation Mood Feeling 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Social media Dimension (data warehouse) media_common |
| Zdroj: | 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence. |
| Popis: | The advent of social media and the rapid development of mobile communication technologies have dramatically changed the way to express the feeling, attitude, mood, passion etc. People often express their reactions, fancies and predilections through social media by means of short texts of epigrammatic nature rather than writing long text. Many micro blogging services like Twitter enable people to share and discuss their thoughts and views in the form of short texts without being constrained by space and time. Millions of tweets are generated each day on multifarious issues. Sentiments or opinions for diverse issues have been observed as an important dimension which characterizes human behaviour. Public frequently articulate their opinions towards various issues. In an effort to gain insights from people's point of views, this paper applies text mining on tweets generated on Τwitter sites for two famous Indian political diplomats: Arvind Kejriwal and Narendra Modi. The results reveal value of this competitive study and how these diplomats could deal with their political affairs in a better way and identify areas where they need to take a better step into. This study could really help these diplomats to improve their political strategies. |
| Databáze: | OpenAIRE |
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