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https://github.com/aryanparmarr/sentiment-analysis-of-product-reviews

Sentiment analysis, also known as opinion mining, is a NLP and ML task that involves identifying and categorizing sentiments expressed in text data. In the context of product reviews, sentiment analysis aims to determine whether the feedback provided by customers is positive, negative, or neutral.
https://github.com/aryanparmarr/sentiment-analysis-of-product-reviews

ai jupyter-notebook logistic-regression machine-learning naive-bayes-algorithm nlp-machine-learning python python3 svm-model

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Sentiment analysis, also known as opinion mining, is a NLP and ML task that involves identifying and categorizing sentiments expressed in text data. In the context of product reviews, sentiment analysis aims to determine whether the feedback provided by customers is positive, negative, or neutral.

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# This is the score distribution of our data set
![image](https://github.com/user-attachments/assets/511bb5f5-c9c0-4a78-bd19-00bfd2dbcc9c)

# Score distribution after balancing the dataset
![image](https://github.com/user-attachments/assets/581fd4d4-fa68-454e-88af-84b9407d4594)

# Confusion matrix heatmap for logistic regression that we have done in our project is shown below
![image](https://github.com/user-attachments/assets/0614759d-2146-4992-ae7f-e5ed266230b9)

# Confusion matrix heatmap for naïve bayes that we have done in our project is shown below
![image](https://github.com/user-attachments/assets/715ee9a6-1e11-4aa7-93a4-b63cb68b6aea)

# Confusion matrix heatmap for svc that we have done in our project is shown below
![image](https://github.com/user-attachments/assets/3414f6d9-3bc5-405d-9203-4e07ec9e0a0d)