Sentiment Analysis Concepts

Sentiment analysis is the process of identifying and classifying emotions in text. It determines whether the sentiment expressed in the text is positive, negative, or neutral.

This technique is widely used in social media monitoring, customer feedback analysis, and more.

How Sentiment Analysis Works

Sentiment analysis typically involves the following steps:

1. Text Preprocessing: Tokenization, normalization, and stopword removal.
2. Feature Extraction: Converting text into numerical features using methods like Bag-of-Words or word embeddings.
3. Modeling: Using machine learning or deep learning models to classify sentiment.