DT Activity | Customer review classification | Agile Software Engineering | SNS INSTITUTIONS

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In this video discussed about the customer review classification leverages machine learning to automatically categorize reviews as positive, negative, or neutral, helping businesses analyze feedback at scale. The process begins with data preprocessing: cleaning text by removing punctuation, converting to lowercase, and eliminating stop words. Next, feature extraction transforms text into numerical formats using techniques like TF-IDF or word embeddings (e.g., Word2Vec, GloVe). These features feed into ML models such as Naive Bayes, Logistic Regression, or deep learning models like LSTM for sentiment prediction.

Видео DT Activity | Customer review classification | Agile Software Engineering | SNS INSTITUTIONS канала Ramesh Kalyan G