• Join/Login
  • Business Software
  • Open Source Software
  • For Vendors
  • Blog
  • About
  • More
    • Articles
    • Create
    • SourceForge Podcast
    • Site Documentation
    • Subscribe to our Newsletter
    • Support Request
SourceForge logo
For Vendors Help Create Join Login
SourceForge logo
Business Software
Open Source Software
SourceForge Podcast
Resources
  • Articles
  • Case Studies
  • Blog
Menu
  • Help
  • Create
  • Join
  • Login
  • Home
  • Open Source Software
  • Artificial Intelligence
  • Sentiment Analysis
  • Sentiment dataset of Algerian dialect
  • Files

Sentiment dataset of Algerian dialect Files

Dataset of 11760 sentiment comments written in Algerian dialect

Brought to you by: mazari
  • Summary
  • Files
  • Reviews
  • Support
Home
Name Modified Size InfoDownloads / Week
Sentiment_dataset_of_Algerian_dialect (11760).xlsx 2022-06-23 912.8 kB
3 3 weekly downloads
Totals: 1 Item   912.8 kB 3
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Keep company data safe with Chrome Enterprise Icon
Keep company data safe with Chrome Enterprise

Protect your business with AI policies and data loss prevention in the browser

Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
Download Chrome
Recommended Projects
  • VADER
    VADER
    VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool designed for analyzing the sentiment of text, particularly in social media and short text formats. It is optimized for quick and accurate analysis of positive, negative, and neutral sentiments.
  • fastText
    fastText
    FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices. ext classification is a core problem to many applications, like...
  • HanLP
    HanLP
    HanLP is a multilingual Natural Language Processing (NLP) library composed of a series of models and algorithms. Built on TensorFlow 2.0, it was designed to advance state-of-the-art deep learning techniques and popularize the application of natural language processing in both academia and...
  • NVIDIA NeMo
    NVIDIA NeMo
    NVIDIA NeMo, part of the NVIDIA AI platform, is a toolkit for building new state-of-the-art conversational AI models. NeMo has separate collections for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) models. Each collection consists of prebuilt...
  • Smile
    Smile
    Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the...
SourceForge
  • Create a Project
  • Open Source Software
  • Business Software
  • Top Downloaded Projects
Company
  • About
  • Team
  • SourceForge Headquarters
    1320 Columbia Street Suite 310
    San Diego, CA 92101
    +1 (858) 422-6466
Resources
  • Support
  • Site Documentation
  • Site Status
  • SourceForge Reviews
SourceForge logo
© 2025 Slashdot Media. All Rights Reserved.
Terms Privacy Opt Out Advertise
×
Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.
Thanks for helping keep SourceForge clean.
X

Briefly describe the problem (required):
Upload screenshot of ad (required):
Select a file, or drag & drop file here.
✔
✘
Screenshot instructions:

Click URL instructions:
Right-click on the ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies

Ad destination/click URL: