Leverage Sentiment Analysis

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  Sentiment Analysis

Inspiration

Sentiment analysis helps to know about people's feedback for a particular product. The main aim is to know about the success or failure of the product released in the market.

What it does

It takes the customer review as the input and predicts whether it is a positive or negative review

How we built it

Project is build using Machine Learning Algorithms and framework, the programming language used is a python

Challenges we ran into

Data preprocessing because a lot of emoticons, punctuations, and diverse language is used

Accomplishments that we're proud of

We successfully build a model to analyze customer sentiment using basic machine learning algorithms

What we learned

We learned to preprocess the difficult sentences in the review

What's next for Leverage Sentiment Analysis

We have to implement a transfer model for better accuracy and predictions

Built With

• machine-learning
• numpy
• pandas
• python
• tensorflow