Developer friendly Natural Language Processing ✨

Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.

A package for reading/writing files containing pre-trained word embeddings and building "embedding matrices".

State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.

🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy

🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.

This repo contains my work for this specialization. The code base, quiz questions and diagrams are taken from the Natural Language Processing Specialization unless specified otherwise.

Semantic matching algorithm for linking texts with their relevant Medical Subject Headings (MeSH).

👩‍🏫 Advanced NLP with spaCy: A free online course

NLP concepts and algorithms

👑 spaCy building blocks and visualizers for Streamlit apps

Reddit post classifier with sentiment analysis

Persian Word Embedding using FastText, BERT, GPT and GloVe | تعبیه کلمات فارسی با روش های مختلف

Basic Utilities for PyTorch Natural Language Processing (NLP)

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Word representation for Ukrainian with fastText

Utilizing advanced NLP techniques and SentimentIntensityAnalyzer from the NLTK library, this script analyzes Google Play Store app reviews to extract and visualize user sentiments based on pre-defined topics, such as app interface and load time, offering valuable insights into user experience.

Multilingual word vectors in 78 languages

'dictvectoR' measures the similarity between a concept dictionary and documents, using fastText word vectors. Implements the "Distributed-Dictionary-Representation" (Garten et al. 2018) method in R.

Experiments for my master's thesis about automatic dictionary generation.