CLLGNov 28, 2022

Sentiment analysis and opinion mining on E-commerce site

arXiv:2211.15536v25 citationsh-index: 4
Originality Synthesis-oriented
AI Analysis

This work addresses sentiment analysis challenges for e-commerce applications, but it appears incremental as it builds on existing methods without clear novel contributions.

The study tackled sentiment polarity classification in sentiment analysis by presenting a broad technique for categorizing sentiment opposition, conducting both sentence-level and review-level categorization, but no concrete results or numbers were provided.

Sentiment analysis or opinion mining help to illustrate the phrase NLP (Natural Language Processing). Sentiment analysis has been the most significant topic in recent years. The goal of this study is to solve the sentiment polarity classification challenges in sentiment analysis. A broad technique for categorizing sentiment opposition is presented, along with comprehensive process explanations. With the results of the analysis, both sentence-level classification and review-level categorization are conducted. Finally, we discuss our plans for future sentiment analysis research.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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