Who is SentimentArEng for?

SentimentArEng is an open-source project built for developers.

What platforms does SentimentArEng run on?

SentimentArEng runs on the web and API.

Is SentimentArEng still active?

Unverified. SentimentArEng has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to SentimentArEng?

Similar projects tracked by PulseGate include Bangla Twoclass Sentiment Analyzer, Bertweet Base Sentiment Analysis, and Robertuito Sentiment Analysis.

Who develops SentimentArEng?

SentimentArEng is developed by qandos0.

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SentimentArEng

Name: SentimentArEng
Author: qandos0

huggingface.coInfrastructure

SentimentArEng is an open-source transformer model hosted on Hugging Face for performing sentiment analysis on Arabic and English text. It uses the transformers library and supports text-classification pipelines. The model is designed for developers integrating multilingual sentiment detection into applications.

Open SourceWebAPI

Visit huggingface.co

Overview

3 features

In the Other AI space, SentimentArEng takes a focused approach. It focuses on performing accurate sentiment analysis on mixed Arabic and English text. SentimentArEng is an open-source project aimed at developers. SentimentArEng is open source under the Open Source license. It ships for the web and API.

Behind SentimentArEng is qandos0. Key capabilities include Text Classification, Sentiment Analysis, and Multilingual Support.

Summary written by a language model from the project’s public pages.

Text Classification
Sentiment Analysis
Multilingual Support

Built with & integrations

Hosting

AWS

Runs on

BrowserAPI-only

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License

Open Source

Verified signals

HTTPSPrivacy Policy Terms of ServiceOpen Source

Legal

Indexing history

What PulseGate has recorded for this listing

Indexed21 Jul · 13:04 UTC
qandos0/SentimentArEng verified against its public source
Source: PulseGate · Open

Frequently asked questions about SentimentArEng

What does SentimentArEng do?: SentimentArEng focuses on performing accurate sentiment analysis on mixed Arabic and English text. It is catalogued under Other AI on PulseGate.
Who is SentimentArEng for?: SentimentArEng is an open-source project built for developers.
Is SentimentArEng free?: Yes — SentimentArEng is open source under the Open Source license and free to use.
What platforms does SentimentArEng run on?: SentimentArEng runs on the web and API.
Is SentimentArEng still active?: Unverified. SentimentArEng has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to SentimentArEng?: Similar projects tracked by PulseGate include Bangla Twoclass Sentiment Analyzer, Bertweet Base Sentiment Analysis, and Robertuito Sentiment Analysis.Bangla Twoclass Sentiment Analyzer Bertweet Base Sentiment Analysis Robertuito Sentiment Analysis
Who develops SentimentArEng?: SentimentArEng is developed by qandos0.
Is SentimentArEng open source?: Yes — SentimentArEng is open source under the Open Source license.

At a glance

Pricing: Open Source
Platforms: Web
Languages: English
License: Open Source
Built for: developers
Model: Open source
Solves: Performing accurate sentiment analysis on mixed Arabic and English text.

Registered as

Hugging Face: qandos0/SentimentArEng

Developer

qandos0

Index record

Indexed: 21 Jul 2026
Lifecycle: Alive
Last seen: 21 Jul 2026

Identity audit (12)

Slug: qandos0-sentimentareng-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 21 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Derived from the model's own Hugging Face metadata.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/qandos0/SentimentArEng

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