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language: tr |
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license: mit |
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# turkish-text-classification-model |
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https://huggingface.co/algumusrende/turkish-text-classification-model |
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This model is used for Sentiment Analysis, which is based on bert-base-turkish-sentiment-cased https://huggingface.co/savasy/bert-base-turkish-sentiment-cased |
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## Dataset |
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The dataset is taken from https://www.kaggle.com/datasets/burhanbilenn/duygu-analizi-icin-urun-yorumlari?select=magaza_yorumlari_duygu_analizi.csv |
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Containing product reviews of electronics stores in Turkish Language, with 3 categories: |
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[ |
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"Olumlu (Positive)", |
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"Olumsuz (Negative)", |
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"Tarafsız (Neutral)" |
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] |
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2 columns and 11429 rows (3 NaN rows), encoded in "utf-16" |
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*Dataset* |
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| *size* | *data* | |
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|--------|----| |
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| 5713 |train.csv| |
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| 2856 |val.csv| |
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| 2857 |test.tsv| |
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| *11426* |*total*| |
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## Training and Results |
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|*index*|*eval\_loss*|*eval\_Accuracy*|*eval\_F1*|*eval\_Precision*|*eval\_Recall*| |
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|---|---|---|---|---|---| |
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|train|0\.41672539710998535|0\.8531419569403116|0\.8346503162224169|0\.842628684710363|0\.8315839726920476| |
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|val|0\.6787932515144348|0\.7545518207282913|0\.7277930570101517|0\.7311753495947505|0\.7293434379700242| |
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|test|0\.6885481476783752|0\.7434371718585929|0\.7170880702233838|0\.7189901255561661|0\.7180628887201386| |
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## Code Usage |
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```python |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline |
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model = AutoModelForSequenceClassification.from_pretrained("algumusrende/turkish-text-classification-model") |
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tokenizer= AutoTokenizer.from_pretrained("algumusrende/turkish-text-classification-model") |
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pipe = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer) |
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pipe("Son zamanlarda ekonomideki istikrar, borsa endeksine de olumlu yansıdı.") |
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# [{'label': 'Olumlu', 'score': 0.6654265522956848}] |
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pipe("Geçirdiğim diş operasyonu için çekilen röntgen filmleri sağlık yardımı kapsamında ödenmedi.") |
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# [{'label': 'Olumsuz', 'score': 0.9064584970474243}] |
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pipe("Eskiden bayramlarda çikolata dağıtlırdı, artık bunu göremiyoruz.") |
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# [{'label': 'Olumsuz', 'score': 0.7049197554588318}] |
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pipe("Ürün genel itibari ile iyi sayılır, ancak bazı eksikleri de var.") |
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# [{'label': 'Tarafsız', 'score': 0.9369649887084961}] |
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``` |
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--- |
