Sentiment and Opinion Mining

Every word we speak has a sentiment associated with it. Hence each message we say carries a sentiment. Here we shall describe, how to compute and catch the right sentiments of spoken or written, verbal or textual contents.


AI: Sentiment Analysis and Fuzzy Sets based Summarization Technique —- Research based Approach (sample explanation with Python)

Artificial Intelligence: Deep Learning Based Sentiment Analysis using Ensembles (Short Review) – Nidhika Yadav

Sentiment Learning

Here I will discuss how to learn sentiments from both:

  1. Supervised Learning Techniques
  2. Unsupervised Learning Techniques
  3. Hybrid Techniques

Sentiment Analysis Uses

Once sentiments are learned—through any technique (be it supervised or unsupervised or hybrid) they can be applied to various tasks. Here I discuss the applications.

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“So many things are possible just as long as you don’t know they’re impossible.”

Norton Juster

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