# abdulfatir/twitter-sentiment-analysis

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

Repository: https://github.com/abdulfatir/twitter-sentiment-analysis
Canonical: https://ross.abutalabs.com/products/twitter-sentiment-analysis
Language: Python
License: MIT
License Family: permissive
Topics: machine-learning, deeplearning, sentiment-analysis, sentiment-classification, cnn, keras, python, lstm
Last push: 2023-02-27T09:08:55+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3251, "days_push": 1283, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1653, forks 602 (observed 2026-08-28T04:05:17.109470+00:00)

## What it is
A collection of Python scripts comparing sentiment analysis methods on tweets, including Naive Bayes, SVM, logistic regression, CNN, and LSTM models built with scikit-learn and Keras. It was a course project, is archived, and cannot ship its dataset due to copyright restrictions.

## Use cases
- classify tweets as positive or negative
- compare classical and deep learning models for sentiment classification
- learn how to preprocess Twitter data for NLP
- implement LSTM and CNN text classifiers in Keras
- study a sentiment analysis project report with results

## When to choose
- you want reference implementations of multiple sentiment classifiers to study or adapt
- you need a starting point for tweet preprocessing and feature extraction
- you are learning NLP classification techniques with worked examples

## When to avoid
- you need a maintained production-ready sentiment analysis library
- you expect the original Twitter dataset to be included
- you need support for recent Python, TensorFlow, or Keras versions without modifications

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, nlp, deep-learning
- domain: machine-learning, social-media
- platform: python
- tags: sentiment-analysis, twitter, lstm, cnn, naive-bayes, svm, keras, course-project, archived, natural-language-processing

## Member repositories
- abdulfatir/twitter-sentiment-analysis (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:17.109470+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:44:57.645572+00:00, confidence not recorded.
  - readme: https://github.com/abdulfatir/twitter-sentiment-analysis (fetched 2026-08-28T04:05:17.109470+00:00, sha ed981cc08414)
- Data as of 2026-08-30T08:39:29.467469+00:00.