This repo will include the subject of Natural Language Processing (NLP)

Natural Language Processing project work, Computer Science a.y. 2022-2023

Repository for notebooks and learning material/resources for NLP.

CRISIS COMPREHENSIVE ⚠NATURAL LANGUAGE ⚠ PROCESSING MODEL

EDA: Cyberbullying Detection using Natural Language Processing

December - February 2023

A small Syntactic Parser for Turkish Language, created with CKY algorithm.

Codeup repository for natural language processing exercises

Subjectivity removal and Polarity classification of movie reviews employing a shallow model (Multinomial Naive Bayes) and a deep model (Bidirectional LSTM with self-attention)

This repository is from my own nature_inspired_programming repository. I just decided to make it a separate repository. This is an implementation of custom natural language preprocessing for AutoML library tpot.

Text summarizer using huggingface and Transformers. This application uses Natural Language Processing to summarize the given page of text to Cool readable paragraph.

Code Repository for Paper: Multilingual Question Answering System Utilizing Natural Language Inference.

Question-answering systems for an architect, a lawyer, an art collector and a banker.

This NLP repository features various projects aimed at processing and analyzing natural language data. From sentiment analysis to text classification, the projects utilize state-of-the-art techniques and algorithms to extract meaningful insights from unstructured text data.

A curated list of resources dedicated to Natural Language Processing.

Code employed for my Final Year Project in Data Science by the Universitat Politècnica de València

NLP app covering common task like part-of-speech tagging, sentiment analysis, and text-summarization.

This project focuses on automatically generating summaries for news articles from The Washington Post. The goal is to extract key information and provide concise summaries that capture the main points of the articles, making it easier for users to quickly grasp the content and decide whether they want to read the full article.