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internship-project

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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.

  • Updated Jul 4, 2024
  • Jupyter Notebook
Emotion-Detection-of-text-using-LSTM-Internship-Project

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.

  • Updated Mar 26, 2024
  • Jupyter Notebook

The project entails in-depth exploration of customer purchasing behavior, sales trends, and commercial insights within a supermarket chain, specifically targeting the chips category. Leveraging data analytics techniques, the repository showcases the identification of key metrics, data preparation, customer segmentation, and the evaluation.

  • Updated Sep 14, 2024

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