The "/AlgD_dataset (11760..dataset (11760).xlsx" file could not be found or is not available. Please select another file.
  • 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
1 1 weekly downloads
Totals: 1 Item   912.8 kB 1
Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
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...
  • sentiment
    sentiment
    Sentiment is a simple and lightweight sentiment analysis tool for Node.js that evaluates the polarity of text by scoring words based on positive and negative sentiment.
  • ML.NET
    ML.NET
    With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop,...
  • 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...
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: