Sentiment Analysis Model

Categories: Positive Neutral Negative

Domain spesific sentiment analysis for Turkish language

Accuracy: %93 Last Updated: July 2021 Try Model

Named Entity Recognition

Entities: Person Nationality Country Language Company Organization Location Time Date Percent Money Misc

Named entity recognition analysis for Turkish language

Last Updated: 2021 Try Model

General Classification Analysis

Categories: Politics Economy Trend Cultura & Art Policy Health Education Sport magazine World Technology

Text classification analysis on Turkish language over 11 categories

Accuracy: %90 Last Updated: September 2021 Try Model

Content Classification Analysis

Categories: Appreciation Normal Demand & Suggestion Complaint

Subject classification analysis for Turkish language over 4 main categories

Accuracy: %79 Last Updated: September 2021 Try Model

Offensive Language Detection

Categories: Offensive Not Offensive

Offensive language detection analysis on Turkish language

Accuracy: %93 Last Updated: Eylül 2021 Try Model

Spelling Error Correction

Returns: Text with correct spelling

Spelling error correction for Turkish language

Accuracy: %84 Last Updated: Eylül 2021 Try Model

Classification with Zero-Shot

Categories: Categories you choose

Turkish language classification with Zero-Shot algorithm over categories choosen by you.

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Question Answering

Returns: Answer to given question over using provided source text

Question answering service over provided source text and question for Turkish.

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Text Summarization

Returns: Summarized Text

Extractive: Extractive text summarization for Turkish language, supported by TextRank alghorithm and our NER model

Abstractive: Abstractive text summarization for Turkish language, supported by MT5 model.

Last Updated: December 2021 Try Model