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NLP Sentiment Analysis

Analyzing text data to determine sentiment using Natural Language Processing.

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Project Overview

Processing and classifying textual data as positive or negative for reviews or social media.

Technologies Used

PythonNLTKRegex

Methodology

  1. 1Text cleaning (removing stopwords/punctuation).
  2. 2Tokenization and Stemming/Lemmatization.
  3. 3Bag of Words / TF-IDF Vectorization.
  4. 4Classifier training (Naive Bayes/Logistic).

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