MovieSense: Sentiment Analysis, Translation, Summarization, and Text Generation

https://github.com/yjyuwisely/MovieSense_NLP

GitHub - yjyuwisely/MovieSense_NLP: MovieSense, an NLP project that provides sentiment analysis, translation, summarization, and

 Aug 22 - Sep 2

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Page Screenshots

Below are some screenshots of the MovieSense interface showcasing its key functionalities:

Initial Web Page

This screenshot displays the initial state of the MovieSense web interface before any input is provided. It shows the layout of the input text box and the main buttons (Analysis, Generator, Reset) available for user interaction.

Positive Sentiment Example

This screenshot demonstrates a movie review analyzed by the MovieSense tool, showing a positive sentiment prediction along with the translated French version and a summarized output.

Negative Sentiment Example

This screenshot demonstrates a movie review analyzed by the MovieSense tool, showing a negative sentiment prediction along with the translated French version and a summarized output.

Text Generation Output Example

Below are examples of text generated by the GPT-3.5-turbo model in the terminal:

Positive Review Output

 

These screenshots show the output of a positive movie review generated using the GPT-3.5-turbo model via the terminal. Since I do not currently have a paid subscription to the OpenAI API, the generated text is displayed in the terminal rather than within the web interface.

Negative Review Output

 

These screenshots show the output of a negative movie review generated using the GPT-3.5-turbo model via the terminal. The terminal output illustrates how the model handles generating text for different sentiments.