Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

An Optimized LSTM for Moroccan Darija Sentiment Analysis on Social Media

Domain:

natural language processing
Creator:
SarSafEl
Publisher:
Spr
Host:

Visit

doi.org

Tasks

sentiment analysistext classification

Languages

Arabic, Algerian SpokenArabic, Moroccan Spoken

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mininghttps://www.springernature.com/gp/researchers/text-and-data-mining

Similar

Zakaria831/BERT-LSTM-Sentiment-Analysis-DarijaHybrid RNN-LSTM Architecture for Sentiment Analysis of Algerian Dialectal Social Media ContentContribution to the Moroccan Darija sentiment analysis in social networksSentiment analysis of Algerian Arabic dialect on social media Using Bi-LSTM recurrent neural networksMSA-Moroccan Dialect: A Multimodal Sentiment Analysis Dataset for Moroccan Arabic (Darija)Information filtering of social media Amharic texts Based on Sentiment Analysis Information filtering of social media Amharic texts Based on Sentiment Analysis

Zakaria831/BERT-LSTM-Sentiment-Analysis-Darija

Sentiment analysis for Darija tweets using a hybrid BERT + LSTM model # BERT-LSTM Sentiment Analysi

Hybrid RNN-LSTM Architecture for Sentiment Analysis of Algerian Dialectal Social Media Content

Sentiment analysis in under-resourced dialects like Algerian Arabic (Darija) presents unique challen

Contribution to the Moroccan Darija sentiment analysis in social networks

Sentiment analysis of Algerian Arabic dialect on social media Using Bi-LSTM recurrent neural networks

This paper presents a sentiment analysis approach using Bidirectional Long Short-Term Memory (Bi-LST

MSA-Moroccan Dialect: A Multimodal Sentiment Analysis Dataset for Moroccan Arabic (Darija)

This dataset provides the first publicly available multimodal resource for sentiment analysis in Mor

Information filtering of social media Amharic texts Based on Sentiment Analysis Information filtering of social media Amharic texts Based on Sentiment Analysis