Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews
In this paper, we conduct a sentence level sentiment analysis on the product reviews from Amazon and thorough analysis on the model interpretability. For the sentiment analysis task, we use the BiLSTM model with attention mechanism. For the study of interpretability, we consider the attention weights distribution of single sentence and the attention weights of main aspect terms. The model has an accuracy of up to 0.96. And we find that the aspect terms have the same or even more attention weights than the sentimental words in sentences.
Code (0)
등록된 구현이 없습니다.
Tasks
SentenceSentiment AnalysisMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing
The ability to reliably identify sarcasm and irony in text can improve the performance of many Natural Language Processing (NLP) systems including summarization, sentiment analysis, etc. The existing sarcasm detection sy…
Opinion MiningSarcasm DetectionSentenceSentiment AnalysisLearning to Flip the Sentiment of Reviews from Non-Parallel Corpora
Flipping sentiment while preserving sentence meaning is challenging because parallel sentences with the same content but different sentiment polarities are not always available for model learning. We introduce a method f…
SentenceLeveraging Multilingual Resources for Language Invariant Sentiment Analysis
Sentiment analysis is a widely researched NLP problem with state-of-the-art solutions capable of attaining human-like accuracies for various languages. However, these methods rely heavily on large amounts of labeled data…
SentenceSentiment Analysistext-classificationText ClassificationSentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
Most existing pre-trained language representation models (PLMs) are sub-optimal in sentiment analysis tasks, as they capture the sentiment information from word-level while under-considering sentence-level information. I…
Contrastive LearningLanguage ModelingLanguage ModellingSentence+2“Something Something Hota Hai!” An Explainable Approach towards Sentiment Analysis on Indian Code-Mixed Data
The increasing use of social media sites in countries like India has given rise to large volumes of code-mixed data. Sentiment analysis of this data can provide integral insights into people’s perspectives and opinions. …
SentenceSentiment Analysis