Sentiment analysis using python [Video]

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sentiment analysis is a natural language processing technique used to determine the sentiment (positive, negative, or neutral) expressed in a piece of text. in this tutorial, we will use python and the popular library called `textblob` to perform sentiment analysis.

### steps to perform sentiment analysis using textblob:

1. **install textblob**:
you can install textblob using pip by running the following command:

2. **import necessary libraries**:

3. **perform sentiment analysis**:

4. **example**:

### summary:
– sentiment analysis is a powerful technique to analyze the sentiment expressed in text data.
– textblob is a simple and easy-to-use library for performing sentiment analysis in python.
– it provides a sentiment polarity score that indicates whether the text is positive, negative, or neutral.

you can further enhance sentiment analysis by using more advanced techniques and libraries, but textblob is a great starting point for beginners.

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