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Spacy ⭐ 28,628

💫 Industrial-strength Natural Language Processing (NLP) in Python

Trankit ⭐ 693

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Spacy Streamlit ⭐ 688

👑 spaCy building blocks and visualizers for Streamlit apps

Datacamp Python Data Science Track ⭐ 655

All the slides, accompanying code and exercises all stored in this repo. 🎈

Nlp Cheat Sheet Python ⭐ 98

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

Tweebanknlp ⭐ 94

[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

Mbti Personality Classifier ⭐ 51

A model which uses your social media posting predict your MBTI personality type.

Rosette API Client Library for Python

Tokenizers and Machine Learning Models for biological sequence data

Pre-trained models for tokenization, sentence segmentation and so on

Deeplearning.ai Tensorflow_developer Specialization ⭐ 11

This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI

Rosette API Client Library for Java

A NLP package for Chinese text：Preprocessing, Tokenization, Chinese Fonts, Word Embeddings, Text Similarity and Sentiment Analysis 轻量级中文自然语言处理软件包

Fastberttokenizer ⭐ 9

Fast and memory-efficient library for WordPiece tokenization as it is used by BERT.

Nlpcloud Go ⭐ 8

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Rosette API Client Library for Node.js

Twitter Sentiment Analysis With Python ⭐ 7

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

Non-intrusive ngrams generations

Sentiment Analysis Of Covid 19 Tweets ⭐ 6

Texts from twitter has been collected to decide the impact, it has been causing the public .We took a testing dataset and used neural network – Model training for testing the retrieved tweets and gain prediction of the sentiments from their tweets.

R Binding ⭐ 5

R client binding for the Rosette API

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