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
Here I will discuss how to learn sentiments from both:
- Supervised Learning Techniques
- Unsupervised Learning Techniques
- 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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