The Text Analysis Visualizer is a Python project aimed at enhancing text analysis by leveraging advanced visualizations. It offers a comprehensive set of tools to explore and interpret textual data, enabling users to uncover key topics and discover hidden connections within their dataset.
- Conduct exploratory data analysis on text datasets.
- Utilize word clouds and word trees for visualizing the frequency and relationships between words.
- Interactive visualizations enable word selection and the discovery of related phrases.
- Interpret complex text data and uncover word associations.
- Clone the repository: git clone https://github.com/onkar-99/Topic-Modelling-using-Text-visualization
- Navigate to the project directory: cd text-analysis-visualizer
- Install the Graphviz software from the link mentioned in the IVTopicModelling.ipynb
- Change this path as per your system path and add it to the environment PATH variables. "C:\Program Files\Graphviz\bin"
- Run the IVTopicModelling.ipynb file from Jupyter Notebook.
