adithya-s-k / World-of-AI

WORLD OF AI : An open-source repository for AI-based projects 🚀, from beginner to expert level, helping contributors start their journey in Artificial Intelligence and Deep Learning. Our projects provide hands-on experience to real-world problems👨‍💻. Join our community and contribute to the development of AI-based solutions 👥.
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[PROJECT PROPOSAL] Sentiment Analysis using LSTM and RNN #218

Open Samyakta-P opened 1 year ago

Samyakta-P commented 1 year ago

Project Request:


Sentiment Analysis project is a deep-learning based application that aims to analyze the sentiment of textual data. It processes the given piece of text and classifies it as positive and negative with probability. This project utilizes Deep learning techniques as LSTM and RNN to perform sentiment analysis on textual data.

Field Description
About Analyse the sentiment of textual data with probability
Github Samyakta-P
Email patilsamyakta24@gmail.com
Label Project Request

https://github.com/Samyakta-P


Define You

Project Name

Sentiment Analysis

Description

The "Sentiment Analysis" project aims to develop a deep learning model capable of analyzing and classifying the sentiment of text data. By utilizing LSTM and RNN models, the project will enable users to input text and receive sentiment predictions, indicating whether the text conveys a positive or negative with probability.

Scope

The project does not consider live tweets from Twitter. Main objective of this project is classify the given input text as positive or negative with probabilities.

Timeline

I can deliver this project within one week of assignment.

Video Links or Support Links

Dataset: https://www.kaggle.com/crowdflower/twitter-airline-sentiment