Sentiment Analysis of Tweet Data

dc.contributor.author	Chowdhury, S. M. Mazharul Hoque
dc.contributor.author	Ghosh, Priyanka
dc.contributor.author	Abujar, Sheikh
dc.contributor.author	Afrin, Most. Arina
dc.contributor.author	Hossain, Syed Akhter
dc.date.accessioned	2021-11-07T06:45:16Z
dc.date.available	2021-11-07T06:45:16Z
dc.date.issued	2018-09-02
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6347
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Advances in Intelligent Systems and Computing, Springer	en_US
dc.subject	Sentiment analysis	en_US
dc.subject	Social media	en_US
dc.subject	Word cloud	en_US
dc.subject	Twitter	en_US
dc.subject	Polarity	en_US
dc.title	Sentiment Analysis of Tweet Data	en_US
dc.title.alternative	the Study of Sentimental State of Human from Tweet Text	en_US
dc.type	Article	en_US