Sentiment Analysis of Smartphone Product Reviews UsingWeightage Calculation

被引：0
作者：
Rathod, Jayantkumar A. [1 ]
Vignesh, Shetty [1 ]
Shetty, Aishwary J. [1 ]
Pooja [1 ]
Nikshitha [1 ]
机构：
[1] Alvas Inst Engn & Technol, Dept Informat Sci & Engn, Moodbidri 574225, Karnataka, India
来源：
ADVANCES IN COMPUTING AND INTELLIGENT SYSTEMS, ICACM 2019 | 2020年
关键词：
Sentiment analysis; Weightage; Reviews; Tweets; Social media;
D O I：
10.1007/978-981-15-0222-4_40
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Sentiment analysis is extremely useful inmonitoring the social media and the most popular tool for text classification, and analyzes the input and informs you if it is positive, negative, or neutral. It helps to collect large amount of data systematically and it extracts the subjective information from them. Humans have the indelible ability to determine sentiment which is time-consuming process, conflicting, and costly in a business context. It is not practical to have people individually read all the reviews of the customer and scores them for sentiment. So, to overcome this, sentimental analysis models has been developed. In our proposed system, we are using weightage classification model to analyze the tweets from Twitter API and classify based on their respective sentiment.
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收藏
页码：427 / 437
页数：11
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