Text Analysis and Visualization Project 📊📝

Welcome to the Text Analysis and Visualization Project! This repository contains code for analyzing and visualizing text data using various powerful Python libraries.

Overview 🌟

This project demonstrates how to perform the following tasks:

• Data manipulation and analysis with Pandas
• Interactive visualizations with Plotly Express
• Generating word clouds with WordCloud
• Sentiment analysis with TextBlob
• Advanced natural language processing (NLP) with SpaCy
• Topic modeling with Scikit-Learn's CountVectorizer and LatentDirichletAllocation

Installation 🔧

To get started, clone this repository and install the necessary dependencies:

git clone https://github.com/dedemilano/text-analysis-visualization.git
cd text-analysis-visualization
pip install -r requirements.txt

Dependencies 📦

• Pandas: For data manipulation and analysis
• Plotly Express: For creating interactive visualizations
• WordCloud: For generating word clouds
• Matplotlib: For static and animated visualizations
• TextBlob: For basic NLP tasks like sentiment analysis
• SpaCy: For advanced NLP tasks
• Scikit-Learn: For machine learning and topic modeling

Usage 🚀

1. Data Manipulation and Analysis with Pandas

Load and manipulate your text data using Pandas DataFrame:

2. Interactive Visualizations with Plotly Express

Create interactive bar charts to visualize data distributions:

3. Word Clouds with WordCloud

Generate a word cloud from text data:

4. Sentiment Analysis with TextBlob

Analyze the sentiment of text data:

5. Advanced NLP with SpaCy

Perform advanced NLP tasks like tokenization, lemmatization, and named entity recognition:

6. Topic Modeling with Scikit-Learn

Discover latent topics in text data:

License 📄

This project is licensed under the Deoth License - see the LICENSE file for details.

Acknowledgments 🙏

Thanks to the developers of these amazing libraries: Pandas, Plotly, WordCloud, Matplotlib, TextBlob, SpaCy, and Scikit-Learn!