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.
- Host: GitHub
- URL: https://github.com/risdorn/aspect-based-sentiment-analysis
- Owner: Risdorn
- License: mit
- Created: 2024-04-27T11:18:31.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-27T11:24:25.000Z (about 1 year ago)
- Last Synced: 2024-12-31T04:26:38.129Z (5 months ago)
- Topics: aspect-based-sentiment-analysis, nltk, sentiment-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 12.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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