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sharmaroshan/Twitter-Sentiment-Analysis

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

Owner
sharmaroshan (personal account)
Stars
Stars: 266
Forks
Forks: 128
Language
Jupyter Notebook
License
GPL-3.0
Created
2019
Topics
nlpsentiment-analysisdata-analysisbag-of-wordsdata-visualizationedamachine-learningclassificationcross-validationevaluation-metrics
Tier
Alpha (250 to 699 ★) What this tier means
View on GitHub

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