What it does Our project, "IMDB Sentiment Analysis," employs an RNN to categorize Reddit comments as positive, negative, or neutral, providing insights into community sentiments.
How we built it Data Collection: Gathered diverse Reddit comments related to various topics.
Preprocessing: Cleaned and tokenized comments to prepare for analysis.
Model Development: Built an RNN model using TensorFlow or PyTorch to learn sentiment patterns.
Integration with Reddit API: Integrated the model with the Reddit API for real-time comment analysis.
Challenges: Ensuring data quality and diversity. Tuning the RNN model for nuanced sentiment analysis. Efficient real-time integration with the Reddit API. Accomplishments Achieved accurate sentiment classification in dynamic Reddit environments. Successfully integrated real-time sentiment analysis with the Reddit API. What we learned Deepened understanding of NLP techniques and model tuning. What's next Develop a user-friendly interface. Explore multimodal sentiment analysis. Provide insights into sentiment trends within specific Reddit communities. Enhance real-time efficiency for comment analysis.
Built With
- ai
- colab
- ml
- python
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