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Sentiment Analysis with NLP on Twitter Data

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dc.contributor.author Hasan, Md.Rakibul
dc.date.accessioned 2019-02-26T11:05:21Z
dc.date.available 2019-02-26T11:05:21Z
dc.date.issued 12/22/2018
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2989
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and communication Engineering of East West University, Dhaka, Bangladesh en_US
dc.description.abstract Every social networking site are generating a huge amount of data in every second.A lots of innovations are coming to the industry to develop new ways of communica- tions between consumer and start-up business opportunity.Sentiment Analysis is the recent research area in data mining.In our work ,we implement the algorithm namely Natural Language Processing(NLP) on social networking data by sentiment analysis.We take twitter as a social networking site and for data analysis takes two product iPhone vs Samsung.Also the comparison between the python built-in library "TextBlob" and Natural Language Processing.The comparison is showing by evaluating the polarity of the tweet as positive and negative towards a particular device.Consumer can be informed their choice according to the general sentiment expression from the other Twitter users on various product. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;ECE00167
dc.subject Sentiment Analysis with NLP on Twitter Data en_US
dc.title Sentiment Analysis with NLP on Twitter Data en_US
dc.type Thesis en_US


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