Update SA-TR.py

SA-TR.py

@@ -0,0 +1,27 @@
+
+from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer
+
+model= transformers.AutoModelForSequenceClassification.from_pretrained(".")
+tokenizer=transformers.AutoTokenizer.from_pretrained(".")
+
+
+
+
+dosya=["dvd.tsv","Books.tsv","Kitchen.tsv","electronics.tsv"][3]
+
+
+
+data = [line.strip().split("\t") for line in open(dosya)]
+
+sa= pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
+
+
+real=[d[1] for d in data]
+
+pred=[sa(d[0]) for d in data]
+pred2=[p[0]['label'].split("_")[1] for p in pred]
+
+
+res=[a==b for (a,b) in zip(pred2, real)]
+sum(res)/len(res)
+