spaCy Ecosystem
spaCy is a free library for advanced Natural Language Processing (NLP) in Python. It’s designed specifically for production use and helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems.
Keywords
Languages
Fake-News-Detection-V4-Gensim-GoogleNews300
Fake-News-Detection-V3-Word2Vec-Spacy
TFIDF-EmotionDetection
Lexicon-NLP-Lab
text_summarizer
zix_understandability-index
Get a pragmatic assessment how understandable a German text is
nlp-notebooks
This repository contains Jupyter notebooks on various NLP techniques, including text processing, classification, sentiment analysis, and topic modeling
Text-Summarization
Here are the two NLP models for text summarization: Abstractive NLP and Extractive NLP
tap-2024-spacy-llms
This is the repository for my 2024 Tap Institute Course on spaCy with LLMs
Intel_Sentiment_Analysis
Intel Review Analyzer is a powerful tool designed to help businesses understand customer sentiments through automated analysis of reviews
FineTune-Tiny-Llama
Fine-tuning the Tiny Llama model to mimic my professor's writing style using the Llama Factory
indonesian-ner-spacy
Fine-tuning SpaCy for Indonesian Named Entity Recognition (NER) with custom dataset
DeepLearningForCoders
Hey, this repo contains code from deep learning specialization by Andrew NG
Healthcare-Diagnosis-Chatbot-MS-Hackathon
Built a chatbot capable of diagnosing common medical conditions based on user symptoms input
cv_classifier
A REST API that classifies resumes into occupation fields and seniority levels using machine learning
NLP-Notebooks
Explore NLP tasks with Python using NLTK, SpaCy & scikit-learn: Tokenization, Normalization, NER, POS tagging, Encoding, Word embedding
data-science-lecture-S24
This is the webpage of the Data Science course offered by VWL 7 for the summer semester 2024
