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stemming-and-lemmatization

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Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that teaches computers to understand, interpret, and generate human language. It bridges the gap between human communication and machine understanding, powering everyday tools like digital assistants, spam filters, and language translation.

  • Updated Jun 16, 2026
  • Jupyter Notebook

Vision Search Engine is a sophisticated and versatile search engine designed to provide highly accurate and efficient search capabilities. Leveraging a suite of advanced algorithms and techniques, this project is equipped to handle a wide array of search functionalities, ensuring precise and relevant results.

  • Updated Jun 6, 2024
  • Python

Using Sentiment Analysis and Machine Learning detecting hate Speech in Tweets . A text classification project that identifies racist or sexist tweets to support safer online communities.

  • Updated Aug 25, 2025
  • Jupyter Notebook

This project performs Social Media Sentiment Analysis using NLP techniques including BERT, RoBERTa and a custom Hybrid Model. It classifies social media text into multiple emotion categories, enabling accurate sentiment understanding for real-world opinion .mining applications.

  • Updated Dec 12, 2025
  • Jupyter Notebook

The repository contains all the codes of all practicals of DS (SL-3) lab for the AIDS branch. The codes are according to problem statements given in the syllabus of SPPU. Download code and practice them to score good in your practical exams :)

  • Updated Jun 25, 2024
  • Jupyter Notebook

💬 A hands-on collection of Jupyter notebooks exploring essential Natural Language Processing (NLP) concepts including tokenization, stop words, Bag of Words, TF-IDF, POS tagging, NER, SpaCy pipelines, stemming, lemmatization, and word embeddings with FastText and Gensim.

  • Updated Jul 28, 2025
  • Jupyter Notebook

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