twitter-sentiment-analysis and NLP_Twitter_Sentiment_Analysis

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 15/25
Stars: 1,643
Forks: 608
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 9
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About twitter-sentiment-analysis

abdulfatir/twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

This project helps social media analysts, marketers, or researchers understand public opinion by analyzing Twitter data. You provide a CSV file of tweets, some labeled as positive or negative, and it outputs predictions of sentiment for new, unlabeled tweets. It helps you quickly gauge sentiment trends without manual review.

social-media-analysis public-opinion brand-monitoring market-research text-analysis

About NLP_Twitter_Sentiment_Analysis

swilliamc/NLP_Twitter_Sentiment_Analysis

NLP Twitter Sentiment Analysis (Machine Learning)

This project helps you understand the general sentiment of discussions happening on Twitter. It takes raw Twitter text data and processes it to identify whether the sentiment expressed is positive or negative. A social media analyst, marketing professional, or public relations specialist could use this to quickly gauge public opinion.

social-media-monitoring brand-reputation public-sentiment marketing-analytics competitive-intelligence

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