This text focuses on the sentiment evaluation of product opinions from the Flipkart Customer Review dataset.
Sentiment evaluation is an important job in Pure Language Processing (NLP) that goals to categorise textual content into constructive, unfavourable, or impartial sentiments. It allows companies to realize insights from buyer suggestions.
Our goal is to discover and evaluate a number of strategies for binary sentiment classification, evaluating their efficiency and computational effectivity.
The strategies vary from conventional approaches to superior strategies leveraging embeddings and generative fashions.
Some strategies require labeled knowledge and a few do under no circumstances.
1. Dataset Evaluation and Preprocessing:
- Discover the Flipkart Buyer Evaluate dataset and preprocess it to create a binary classification job.
- Give attention to clear sentiment polarities (constructive and unfavourable), excluding impartial opinions.
2. Technique Exploration:
- Experiment with various…
