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Emotion-Detection-of-text-using-LSTM-Internship-Project

abhi227070 / Emotion-Detection-of-text-using-LSTM-Internship-Project

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Emotion Detection of Text using LSTM: This internship project focuses on detecting the emotion of a sentence as positive, negative, or neutral using Long Short-Term Memory (LSTM) networks, a type of deep learning model. Based on these emotions, the overall sentiment of a platform or user experience is calculated from users' feedback.

deep-neural-networks deep-learning jupyter-notebook recurrent-neural-networks lstm deeplearning lstm-neural-networks internship-project
  • Updated Mar 26, 2024
  • Jupyter Notebook

versac3s / Code-Pen---Online-Code-Editor

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This project is a simple clone of CodePen, a popular online code editor and front-end development environment. It allows users to write HTML, CSS, and JavaScript code, and see the live output in real-time. The project is built using React, providing a modern and responsive user interface.

javascript css html computer-science frontend codepen reactjs frontend-web frontend-webdevelopment html-css-javascript webdevelopment projectideas codepen-clone internship-project
  • Updated Jun 26, 2024
  • JavaScript

Muhammad-Shah / sentiment-analysis

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This repository contains our work for Task 1 of the ITSOLERA internship, a sentiment analysis project. Using Python and Streamlit, We developed a web application that analyzes text input and predicts the sentiment as positive or negative. The repository includes the complete code for the project.

python natural-language-processing sentiment-analysis text-classification tensorflow classification sentiment-classification supervised-machine-learning text-preprocessing machie-learning streamlit internship-project
  • Updated Jul 4, 2024
  • Jupyter Notebook

santhoshprabhuV2003 / cyberbullying-tweet-detection

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The "Cyberbullying Tweet Detection" project looks into the world of machine learning to tackle the essential problem of cyberbullying detection in online communication. This project focuses on the creation and implementation of cutting-edge machine learning models to automatically recognize and categorize tweet content containing cyberbullying.

python github-pages flask machine-learning reactjs pickle internship-project render-deployment
  • Updated Jun 3, 2024
  • Jupyter Notebook

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