An Effective Method of Predicting the Polarity of Airline Tweets using sentimental Analysis

被引：0

作者：

Adarsh, M. J. ^{[1
]}

Ravikumar, Pushpa ^{[1
]}

机构：

[1] Adichunchanagiri Inst Technol, Dept Comp Sci & Engn, Chikkamagaluru, Karnataka, India

来源：

2018 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES) | 2018年

关键词：

Tweets; Sentiment; Score;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Sentiment Analysis is an approach of analyzing the sentiments using text analysis and Natural Language processing Methods. In Sentiment Analysis, the conceptive information is identified and extracted from the various sources. It aims to identify the mindset of a user across various aspects. Globally, it is used for Opinion extraction and recognition of sentiments, which helps Business establishments in understanding the needs of the end users. In this Paper, an effective yet simple approach of sentiment analysis is presented, which involves calculation of scores based on positive and Negative words. Tweets are classified positive, Negative and Neutral based on the scores.

引用

页码：676 / 679

页数：4

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