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Proposal: Enhancing Sentiment Analysis Accuracy on IMDB Ratings and Comments Using ChatGPT and NLP
Project Overview
The project involves extracting IMDB ratings and comments. The goal is to apply…
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### Describe the feature
As an GSSoC'24 contributer, I want to enhance my developing skills into this scrape-up.
also I'll be working in this issue,
point to be noted I'm the contributor of th…
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Review emotion analysis involves extracting sentiments or emotions from textual data
Solution: Gather the dataset containing reviews or textual data along with their associated sentiments or emotio…
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**Description**:
We propose the development of a Python-based news data analysis tool. This project aims to analyze news data from various sources and provide insights into trends, sentiments, and ke…
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Since starting to contribute to this project, there have been quite a few things I've wanted to add, but found difficult to do with the way the current video-building system is structured:
- Add "H…
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## Problem
The current sentiment analysis in the **'analyze_feedback'** module relies on the TextBlob model, which primarily uses keyword-based analysis to determine sentiment. This approach is limit…
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### Details
I want you to create some natural language processing functionality in the python file. After reading the input in the file, use any library or functions to analyze the overall sentiment …
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### Details
Add a requirements.txt with the libraries needed to support the project and also create a readme telling us how to run the project in detail
### Branch
_No response_
Checklist
- [X] Cr…
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tasks.py
```
from celery import Celery
##cmd command: celery -A tasks worker --loglevel=INFO
app = Celery('tasks', broker='redis://localhost', backend='redis://localhost')
@app.task
def he…
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# Traditional layout vs. src layout
First of all, we should decide which layout to use. The traditional layout is standard and simple, while the src layout is cleaner and easier to navigate. Please…