Big-Data-and-Social-Media-Analytics
所属分类：自然语言处理
开发工具：R
文件大小：1992KB
下载次数：0
上传日期：2020-12-22 15:38:36
上 传 者：
sh-1993
说明： 印度观众对印度新闻频道感受的比较分析
(A comparative analysis of Indian Viewers’ Sentiment & Perception about the Indian news channels)
文件列表:
Centrality measures.csv (773, 2020-12-22)
Community clusters.csv (342, 2020-12-22)
Grp1_SecA_BDSM_Project Code.R (12918, 2020-12-22)
Grp1_SecA_BDSM_Project Orange File.ows (684081, 2020-12-22)
Grp1_SecA_Indian News_Mouthshut Reviews.csv (620978, 2020-12-22)
Grp1_SecA_Indian News_Tweets and Retweets.csv (2082636, 2020-12-22)
Grp1_SecA_Indian News_Tweets without Retweets.csv (2310583, 2020-12-22)
# Big-Data-and-Social-Media-Analytics
A comparative analysis of Indian Viewers’ Sentiment & Perception about the Indian news channels
Objectives:
1. To understand the sentiments of the viewers about the content shown on Indian News channels
2. To gather insight on most talked about attributes of India News Channel
3. To understand the overall perception of Indian News Channels in the minds of viewers
Analysed the Twitter users and tweets data using Python, Orange, SPSS and Excel to perform analyses like Text Analytics using NLP Techniques of Tokenisation and Lemmatization, Sentiment Analysis, Topic Modelling, Document Clustering and Network Analytics using Tweets and Twitter user data for Community Detection - Degree, Closeness and Betweenness
Performed hypotheses testing to check the existence of strong sentiments, correlation of sentiments among news channels and their sentiments towards fake news.
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