Data Science Projects on Sentiment Analysis

Sentiment analysis is one of the popular examples of how businesses are using natural language processing in their applications. In most companies, today sentiment analysis is widely used to analyze a customer’s feelings by analyzing their reviews of their experience with the services. So if you are looking for some ideas about data science projects on sentiment analysis, this article is for you. In this article, I’ll walk you through some of the best data science projects on sentiment analysis you should try.

Data Science Projects on Sentiment Analysis

Whatsapp Chat Sentiment Analysis:

Whatsapp is one of the best data sources to analyze many patterns and create your data science projects. If you want to find a unique dataset for a data science project based on sentiment analysis, you should use the dataset of your WhatsApp chat with a person or a group and start analyzing it. If you don’t know how to find your WhatsApp chats data, just follow the steps mentioned below:

  1. For iPhone:
    1. Open your chat with a person or a group
    2. Just tap on the profile of the person or the group
    3. You will see an option to export chat down below
  2. For Android:
    1. Open your chat with a person or a group 
    2. Click on the three dots above 
    3. Click on more
    4. Click on the export chat

You will see an option to attach media while exporting your chat. For simplicity, it is best not to attach media. You can find this data science project on sentiment analysis using Python from here.

Product Reviews Sentiment Analysis:

Analyzing the sentiments of product reviews helps a business understand what people want most from their product. You can easily find any sentiment-based dataset about product reviews online. Let’s say, Amazon Alexa, it is one of the most successful voice assistants today, including all of its variations. But not every customer thinks the same, so there must be some people who don’t like it or who expect more based on the price they pay for it. So, analyzing the sentiments of reviewers on Amazon Alexa can also become a good data science project on sentiment analysis. You can find this project solved and explained using Python from here.

Summary

So these were some of the best data science projects on sentiment analysis that you can try. In most companies, today sentiment analysis is widely used to analyze a customer’s feelings by analyzing their reviews of their experience with the services. I hope you liked this article on data science projects on sentiment analysis. Feel free to ask your valuable questions in the comments section below.

Aman Kharwal
Aman Kharwal

I'm a writer and data scientist on a mission to educate others about the incredible power of data📈.

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