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Title

Sentiment Analysis of Tweet Data: The Study of Sentimental State of Human from Tweet Text

Abstract

Sentiment analysis is a hot topic today. The purpose of this research is finding out sentimental state of a person or a group of people using data mining. The target of this research is building a user friendly interface for general people, so that they will be able to see the analysis report very easily. This analysis process contains both supervised and unsupervised learning, which is a hybrid process. Analysis is done based on keywords, which is defined by the user. User is able to set the number of tweets he/she wants to analyze. We used web-based library for the system. The system is tested and found satisfactory result.

Keywords

Emotion, Polarity, R, Sentiment analysis, Scores, Social media, Twitter, Word cloud

Authors

S. M. Mazharul Hoque Chowdhury,Priyanka Ghosh, Sheikh Abujar, Most. Arina Afrin, Syed Akhter Hossain

Phone

Journal or Conference Name

Advances in Intelligent Systems and Computing

Publish Year

2019

Indexing

Scopus