Add NLP model testing framework with sentiment validation

Author: Pragya-19

README.md

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+

nlp_model/__init__.py

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+

nlp_model/__pycache__/__init__.cpython-311.pyc

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+def predict_sentiment(text):
+    positive_words = ["happy", "good", "great", "excellent", "love"]
+    negative_words = ["bad", "sad", "hate", "terrible", "poor"]
+
+    text = text.lower()
+
+    if any(word in text for word in positive_words):
+        return "positive"
+
+    if any(word in text for word in negative_words):
+        return "negative"
+
+    return "neutral"

nlp_model/__pycache__/sentiment_model.cpython-311.pyc

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+import re
+
+
+def clean_text(text):
+    text = text.lower()
+    text = re.sub(r"[^a-z\s]", "", text)  # remove special chars
+    return text

nlp_model/__pycache__/text_preprocessor.cpython-311.pyc

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+pytest

nlp_model/sentiment_model.py

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+text,expected_sentiment
+I love this product,positive
+This is bad service,negative
+I am walking in park,neutral

nlp_model/text_preprocessor.py

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+