Tweets Competitive Sentimental Analysis of Android Mobile Brands to Understand Customer Experience

被引:0
|
作者
Ali, Umair Liaquat [1 ,2 ,3 ,4 ]
Ali, Tahir [1 ,2 ,3 ,4 ]
Ahmad, Imran [1 ,2 ,3 ,4 ]
Kamal, Shahid [1 ,2 ,3 ,4 ]
机构
[1] Univ Cent Punjab, Lahore, Pakistan
[2] Gulf Univ Sci & Technol, Kuwait, Kuwait
[3] Riphah Int Univ, Lahore, Pakistan
[4] Gomal Univ, ICIT, Dikhan, Pakistan
关键词
Twitter; Sentiment analysis; Natural language processing techniques; Tweets mining; Tweets sentimental analysis; Social media; SOCIAL MEDIA; EMOTIONS;
D O I
10.1007/978-981-13-6052-7_20
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the dawn of the social media era the world has connected more than ever, every opinion, news and discussion is now online. Public opinion data is freely available and accessible through the API of the provider. Data mining, text mining and sentimental analysis provide insight of data. Companies hold official pages on micro-blogging websites like Twitter. This helps them to introduce products and keep in touch with customers. We choose the three Android phone selling brands which are Samsung, Oppo &, Nokia and do our analysis on the tweets posted on official page as a response to officially posted tweets or mentioned using hashtags "#" or mentioned tag "@". We performed a competitive analysis on our finding to find similarities & differences. In the end, we provided recommendations on how to make a better competitive analysis strategy to win the market both on social media forum and in the sale market.
引用
收藏
页码:228 / 239
页数:12
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