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https://github.com/risdorn/aspect-based-sentiment-analysis

Aspect Based Sentiment Analysis utilized Dependancy Parsing and prebuilt Sentiment Intensity Analyzer model from nltk to predict sentiment for different reviews. This helps in identfying what part of the review is positive and what part is negative. The data used is a Car Reviews Dataset.
https://github.com/risdorn/aspect-based-sentiment-analysis

aspect-based-sentiment-analysis nltk sentiment-analysis

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Aspect Based Sentiment Analysis utilized Dependancy Parsing and prebuilt Sentiment Intensity Analyzer model from nltk to predict sentiment for different reviews. This helps in identfying what part of the review is positive and what part is negative. The data used is a Car Reviews Dataset.

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# Aspect-Based-Sentiment-Analysis
Aspect Based Sentiment Analysis utilized Dependancy Parsing and prebuilt Sentiment Intensity Analyzer model from nltk to predict sentiment for different reviews. This helps in identfying what part of the review is positive and what part is negative. The data used is a Car Reviews Dataset.

The Kaggle Notebook can be found [here](https://www.kaggle.com/code/rishabh222/aspect-based-sentiment-analysis-of-car-reviews)

## Data

The dataset is taken from Edmunds-Consumer Car Ratings and Reviews contains Car Reviews and can be found [here](https://www.kaggle.com/datasets/ankkur13/edmundsconsumer-car-ratings-and-reviews)

## References

https://www.kaggle.com/code/satyanarayanam/aspect-based-sentiment-analysis