Learn Python Text Processing

Python Programming can be used to process text data for the requirements in various textual data analysis. A very important area of application of such text processing ability of python is for NLP (Natural Language Processing). NLP is used in search engines, newspaper feed analysis and more recently for voice -based applications like Siri and Alexa. Python's Natural Language Toolkit (NLTK) is a group of libraries that can be used for creating such Text Processing systems. This app is designed for Computer Science graduates as well as Software Professionals who are willing to learn Text Processing in simple and easy steps using Python as a programming language.

Features:

- Text Processing Introduction

- Text Processing Environment

- String Immutability

- Sorting Lines

- Reformatting Paragraphs

- Counting Token in Paragraphs

- Binary ASCII Conversion

- Strings as Files

- Backward File Reading

- Filter Duplicate Words

- Extract Emails from Text

- Extract URL from Text

- Pretty Print

- Text Processing State Machine

- Capitalize and Translate

- Tokenization

- Remove Stopwords

- Synonyms and Antonyms

- Text Translation

- Word Replacement

- Spelling Check

- WordNet Interface

- Corpora Access

- Tagging Words

- Chunks and Chinks

- Chunk Classification

- Text Classification

- Bigrams

- Process PDF

- Process Word Document

- Reading RSS feed

- Sentiment Analysis

- Search and Match

- Text Munging

- Text wrapping

- Frequency Distribution

- Text Summarization

- Stemming Algorithms

- Constrained Search

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