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