Sentimental analysis of customer product Reviews to understand customer needs using machine learning

Sentimental analysis of customer product Reviews to understand customer needs using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiske detaljer
Main Authors:	Symum, Md Abdullah Al, Sheemu, Subarna Yeasmin, Asif, Abu Saleh Md., Islam, Konika
Andre forfattere:	Shakil, Arif
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Natural language processing Customer feedback Textual data analysis Sentimental analysis Transformer Sentiment lexicons Word embeddings Machine learning Natural language processing (Computer science)
Online adgang:	http://hdl.handle.net/10361/21980

Lignende værker

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Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
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Sentiment analysis for Bengali newspaper headlines
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Research report on Bengla lexicon
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Udgivet: (2010)

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Performing sentiment analysis in Bangla microblog posts
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An effective machine learning approach for sentiment analysis of restaurant reviews
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A framework for sentiment analysis: a data-driven approach
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Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
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A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
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Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
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Bang-lish sentiment classification using deep learning
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Sentiment analysis on Bangladesh airlines review data using machine learning
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