https://github.com/rathod-shubham/natural-language-processing

Natural language processing (NLP) is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is written, spoken, and organized
https://github.com/rathod-shubham/natural-language-processing

ai artificial-intelligence machine-learning natural-language-processing nlp nlp-machine-learning nltk python python3 sentiment-analysis

Last synced: 7 months ago
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Natural language processing (NLP) is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is written, spoken, and organized

• Host: GitHub
• URL: https://github.com/rathod-shubham/natural-language-processing
• Owner: RATHOD-SHUBHAM
• Created: 2023-09-22T11:21:24.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2023-09-25T11:32:36.000Z (about 2 years ago)
• Last Synced: 2025-01-22T07:43:21.848Z (9 months ago)
• Topics: ai, artificial-intelligence, machine-learning, natural-language-processing, nlp, nlp-machine-learning, nltk, python, python3, sentiment-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 76.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Natural-Language-Processing

### Natural Language Processing

      “Natural Language Processing”  refers to the field concerned with the ability of a computer to understand, analyze, manipulate,

      and potentially generate human language.

      

      

### NLTK

"natural language toolkit” is the most utilized package for handling natural language processing tasks in Python; 

### NLP Essentials

    1] Tokenizing.

    2] Stemming.

    3] lemmatization.

    4] Bag of words or Count Vectorizer.

    5] TF-IDF.

    6] Word2Vec.

    7] WordEmbedding.

    

    

Nlp folder contains all the essentials, including data cleaning to vectorizing.

The Project folder contains a complete project where we use various machine learning model to classify or analyze the data.

### Projects

      1] SMS -Spam Detection.

      2] Email Spam Detection.

      3] Sentiment Analysis.

      4] Stock Sentiment Analysis.

      5] Fake News Classifer.

      6] Stock Market Prediction And Forecasting Using Stacked LSTM.

      7] Chat Bot.

      8] Given the abstract and title for a set of research articles, predict the topics for each article included in the test set.

      9] Information Extraction with Natural Language Processing.

     

# Natural-Language-Processing