ayushoriginal/Sentiment-Analysis-Twitter

• highreadme#1

  Reposition README intro to clarify project status and focus

  Why:

  CURRENT

  # Sentiment-Analysis-Twitter
  
  ##    -Ayush Pareek
  
  Click here to see a video about this work
  
  Click here to see an introductory presentation given during a rudimentary stage of this project
  
  [](https://gitter.im/Sentiment-Analysis-Twitter/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
  
  ### Update: I've sold this project to the AI and Data Science PaaS company OnePanel Inc. who are hosting it as a commercial API here-> https://www.onepanel.io/algorithms/twitter-sentiment-analyzer.html. However, I will continue to publicly host the code for the open-source community.

  COPY-PASTE FIX

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  # Sentiment-Analysis-Twitter: Open-Source Code for Traditional ML-based Twitter Sentiment Analysis
  
  This repository provides the open-source code for a research project focused on Twitter sentiment analysis, utilizing various feature sets and machine learning classifiers. This project was sold to OnePanel Inc., which now hosts a commercial API (https://www.onepanel.io/algorithms/twitter-sentiment-analyzer.html). The code is maintained here for the open-source community, researchers, and students interested in traditional NLP and ML approaches for social media sentiment.
  
  ## -Ayush Pareek

  OpenDoneDismiss
• hightopics#2

  Add descriptive topics to improve categorization

  Why:

  CURRENT

  (none)

  COPY-PASTE FIX

  Copy

  sentiment-analysis, twitter, nlp, machine-learning, text-classification, python

  OpenDoneDismiss
• mediumlicense#3

  Add a standard open-source LICENSE file

  Why:

  CURRENT

  (no LICENSE file detected — the repo has no recognizable license)

  COPY-PASTE FIX

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  Create a LICENSE file in the repository root with the text of the MIT License.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How can I analyze public sentiment from Twitter data using NLP and machine learning?

  you: not recommended
  AI recommended (in order):

  1. Tweepy
  2. snscrape
  3. Twint
  4. NLTK (Natural Language Toolkit)
  5. spaCy
  6. TextBlob
  7. scikit-learn
  8. TfidfVectorizer
  9. CountVectorizer
  10. Gensim
  11. Hugging Face Transformers
  12. BERT
  13. RoBERTa
  14. XLNet
  15. LogisticRegression
  16. SVC
  17. NaiveBayes
  18. MultinomialNB
  19. RandomForestClassifier
  20. GradientBoostingClassifier
  21. Keras
  22. TensorFlow
  23. PyTorch

  AI recommended 23 alternatives but never named ayushoriginal/Sentiment-Analysis-Twitter. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What are the best machine learning approaches for classifying sentiment in short social media texts?

  you: not recommended
  AI recommended (in order):

  1. BERT
  2. RoBERTa
  3. DistilBERT
  4. XLM-RoBERTa
  5. FastText
  6. XGBoost
  7. LightGBM
  8. Word2Vec
  9. GloVe
  10. Support Vector Machines (SVM)
  11. Logistic Regression

  AI recommended 11 alternatives but never named ayushoriginal/Sentiment-Analysis-Twitter. This is the gap to close.

  Show full AI answer

• Metadata completeness

  fail

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of ayushoriginal/Sentiment-Analysis-Twitter?

  pass
  ⚠AI did not name ayushoriginal/Sentiment-Analysis-Twitter — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts ayushoriginal/Sentiment-Analysis-Twitter in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named ayushoriginal/Sentiment-Analysis-Twitter explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo ayushoriginal/Sentiment-Analysis-Twitter solve, and who is the primary audience?

  pass
  ⚠AI did not name ayushoriginal/Sentiment-Analysis-Twitter — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?