Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)

Interactive web application for real-time next word prediction using n-gram analysis, built with FastAPI and Tailwind CSS.

Malware detection using N-Gram and machine learning.

Coursera's Natural Language Processing specialization

A heuristic approach to completing single words in the context of text completion. (N-Grams)

Intent classification is the automatic categorization of text data based on customer goals. It is known to be a complex problem in NLP. Sequence Labelling aims to classify each token (word) in a class space C. This project addresses these two problem statements by covering the basic concepts of NLP to advanced ones. For instance, linguistics ana…

Classification of IT trouble tickets

Word-prediction algorithm implemented in R (with R Shiny app) then redone in a simplified Python version

The Document Statistics Analyzer is a Python tool that analyzes text documents (PDF, DOCX, TXT), providing word, sentence, paragraph, and document-level insights. It generates reports in Markdown, HTML, or PDF with visualizations like word clouds and sentiment heatmaps, packaged in a ZIP archive, using NLTK, spaCy, and Gradio.