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

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	2019-05-05T06:54:26Z
dc.date.accessioned	2019-05-27T09:59:26Z
dc.date.available	2019-05-05T06:54:26Z
dc.date.available	2019-05-27T09:59:26Z
dc.date.issued	2018-09-02
dc.identifier.issn	2194-5357
dc.identifier.uri	http://hdl.handle.net/20.500.11948/3521
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	Springer Nature Singapore Pte Ltd.	en_US
dc.subject	Sentiment analysis	en_US
dc.subject	Social media	en_US
dc.subject	Emotion	en_US
dc.subject	Polarity	en_US
dc.subject	Scores	en_US
dc.subject	Word cloud	en_US
dc.title	Sentiment Analysis of Tweet Data: The Study of Sentimental State of Human from Tweet Text	en_US
dc.type	Other	en_US