YAML Metadata Warning: The pipeline tag "sentiment-analysis" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, other

Turkish Sentiment Classifier v1

Bu model, Türkçe metinler üzerinde duygu analizi (sentiment analysis) yapmak için fine-tune edilmiştir. Özellikle restoran yorumlarında pozitif, nötr ve negatif duygu sınıflandırması için tasarlanmıştır.

  • Model Mimarisi: BERT (dbmdz/bert-base-turkish-uncased tabanlı)
  • Girdi: Türkçe serbest metin
  • Çıktı: Üç sınıf — 0: Negatif, 1: Nötr, 2: Pozitif

Kullanım Örneği (Transformers.js ile Tarayıcıda)

import { pipeline } from "@xenova/transformers";
const sentiment = await pipeline(
  "sentiment-analysis",
  "Goktug06/sentiment-turkish-v1"
);
const result = await sentiment("Restoran çok güzeldi, servisten memnun kaldım.");
console.log(result);
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