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Sentiment Analysis (Opinion Mining) with Python — NLP Tutorial
An in-depth NLP tutorial diving into sentiment analysis (opinion mining) with Python
Last updated, January 8, 2021
Author(s): Saniya Parveez, Roberto Iriondo
This tutorial’s code is available on Github and its full implementation as well on Google Colab.
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Table of Contents
- Introduction
- What is Sentiment Analysis?
- Types of Sentiment Analysis
- Sentiment Analysis Architecture
- Polarity
- Methods for Sentiment Analysis
- Baseline Machine Learning Algorithms for the Sentiment Analysis
- Challenges and Problems in Sentiment Analysis
- Data Preprocessing for Sentiment Analysis
- Use-case: Sentiment Analysis for Fashion, Python Implementation
- Famous Python Libraries for the Sentiment Analysis
- Applications of Sentiment Analysis
- Conclusion
- Resources
- References
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Introduction
A “sentiment” is a generally binary opposition in opinions and expresses the feelings in the form of emotions, attitudes, opinions, and so on. It can express many opinions. For instance, “like,” or “dislike,” “good,” or “bad,” “for,” or “against,” along with others.
By using machine learning methods and natural language processing, we can extract the personal information of a document and attempt to classify it according to its…
