This report presents an exploratory data analysis of text datasets including blogs, news, and Twitter data. The analysis includes data loading, basic summaries, sampling, and text preprocessing techniques such as removing punctuation, numbers, and stop words. Word frequency analysis and visualizations are used to understand common patterns in the data. These insights help in preparing the dataset for building a next-word prediction model.

This report presents exploratory data analysis of blogs, news, and Twitter datasets for building a next-word prediction model. It includes data cleaning, sampling, and word frequency analysis.

This presentation explains a Next Word Prediction app built using R and Shiny. It demonstrates how the model predicts the next word based on user input.

Exploratory data analysis and summary of text datasets for prediction model.