Project Title: NLP and Time Series Analysis of Tweets During COVID-19

Description

This project is a collaborative effort by three students from FEUP for the curricular unit CAC (Machine Learning Complements). The project focuses on performing natural language processing (NLP) and time series analysis to forecast trends in tweets related to COVID-19.

Team Members

• Henrique Silva
• João Pinheiro
• João Oliveira
• Ricardo Cavalheiro

Project Overview

The goal of this project is to analyze and forecast trends in tweets concerning COVID-19 using NLP techniques and time series analysis. The project will involve extracting and preprocessing tweet data, performing sentiment analysis, and applying time series forecasting models to predict future trends.

Key Features

• Collection and preprocessing of tweet data
• Sentiment analysis on tweets
• Time series analysis of tweet trends
• Forecasting future tweet trends related to COVID-19
• Visualization of analysis results

Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• NLTK (Natural Language Toolkit)
• TensorFlow/Keras
• Matplotlib/Seaborn
• Statsmodels

Installation

1. Clone the repository:

   git clone https://github.com/jogp10/nlp-time-series-covid19.git
   

2. Install the required dependencies:

    pip install -r requirements.txt

LICENSE

This project is licensed under the MIT License.