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What is NLP(Natural Language Processing?)

The Natural Language Processing is application of computational techniques to the analysis and synthesis of natural language and speech.

  • Summarize blocks of text using Summarizer to extract the most important and central ideas while ignoring irrelevant
    • information.
  • Create a chat bot using Parsey McParseface, a language parsing deep learning model made by Google that uses Point-of-Speech tagging.
  • Automatically generate keyword tags from content using AutoTag, which leverages LDA, a technique that discovers topics contained within a body of text.
  • Identify the type of entity extracted, such as it being a person, place, or organization using Named Entity Recognition.
  • Use Sentiment Analysis to identify the sentiment of a string of text, from very negative to neutral to very positive.
  • Reduce words to their root, or stem, using PorterStemmer, or break up text into tokens using Tokenizer.

    • Common NLP tasks in software programs today include:

    • Sentence segmentation, part-of-speech tagging and parsing.
    • Deep analytics.
    • Named entity extraction.
    • Co-reference resolution.

    These are the some Examples of some basics to Advance Natural language Processing!!

    Coming soon for all modules!! will update daily (1 day commit challange :P)

    Require: Python

    My To Do List

    • Python libraries comparison
    • python 3 support
    • Deep Learning
    • WEB
    • OWN trainer