Answer: Text Classification Model focused on Sentiment Analysis, Text Classification Model with Aspect-Based Sentiment Analysis (ABSA)

1. Text Classification Model focused on Sentiment Analysis (B): This type of model is specifically designed to determine the overall sentiment of a text (positive. negative, or neutral). It is highly effective for classifying customer reviews at a high level, providing a clear understanding of the sentiment expressed in each review. 2. Text Classification Model with Aspect-Based Sentiment Analysis (ABSA) (C): BSA extends sentiment analysis by identifying sentiments associated with specific aspects c eatures mentioned in the text. For example, it can analyze mentions of product features (e.g. "battery life," "design") and determine whether the sentiment about those features is positive, negative, or neutral. This capability makes ABSA ideal for understanding the reasons behind the sentiment, aligning perfectly with the e-commerce company's requirements. Why not the others: • A. Named Entity Recognition (NER) Model: While NER is effective for identifying specific entities (e.g., product names, brands), it does noi perform sentiment analysis or extract the reasons for sentiment in text

Author: LeetQuiz .