Beginner, Data Science, NLP, Python, Text, Word Embeddings

Part 8: Step by Step Guide to Master NLP – Useful Natural Language Processing Tasks

This article was published as a part of the Data Science Blogathon

Introduction

This article is part of an ongoing blog series on Natural Language Processing (NLP). Up to part-7 of this series, we completed the most useful concepts in NLP. While going away in this series, let’s first discuss some of the useful tasks of NLP so that you have much clarity about what you can do by learning the NLP. After this part, we will start our discussion on Syntactic and Semantic Analysis in detail including the concept of Grammar and Parsing, etc.

So, In this part of this blog series, we will discuss some of the very useful tasks of Natural Language Processing in a detailed manner.

This is part-8 of the blog series on the Step by Step Guide to Natural Language Processing.

Table of Contents

1. Text Classification

  • Sentiment Analysis
  • Fighting Spam

2. Text Matching or Similarity

  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
  • Cosine Similarity

3. Machine Translation

4. Coreference Resolution