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Node.js scraper to get data from Google Play
Code to get reviews from the Apple App Store and Google Play APIs
Sentiment Analysis in Arabic tweets
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Unsupervised text tokenizer for Neural Network-based text generation.
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …
In the context of Morocco (Darija), sentiment analysis can be an invaluable asset for businesses and organizations looking to better understand the satisfaction of their customers. We will fine-tun…
Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
2024! X / Twitter API scrapper with authorization support. Allows you to scrape search results, User's profiles (followers/following), Tweets (favoriters/retweeters) and more.
The social media sentiment analysis web app, written in Shiny R, allows users to analyze the sentiment of social media posts and understand how their brand is perceived online. This app provides va…
AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/
Curated list of project-based tutorials
Train and evaluate neural network language models for POS tagging, tag input sentences according to a trained model.
A browser-based Parquet file viewer
An Open Source Machine Learning Framework for Everyone
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
A curated collection of resources and repositories for Natural Language Processing (NLP) tasks specific to Darija, the Moroccan Arabic dialect. This repository aims to provide students and research…
A list of Moroccan Darija Datasets grouped by name, data source, region and size.
A state-of-the-art Arabic part-of-speech tagger leveraging the XLMR transformer model With an impressive testing accuracy of 97.49% and a remarkable testing F1-score of 96.44% on the Arabic UD Tree…
Qalsadi: Arabic mophological analyzer Library for python.
An open-source dialogue tree builder
End-to-End Arabic ASR using DeepSpeech engine
XCommerce Standalone - C: The Telecommerce Application, developed in C programming language