A Hybrid Approach of Opinion Mining and Comparative Linguistic Analysis of Restaurant Reviews
The existing research on sentiment analysis mainly utilized data curated in limited geographical regions and demography (e.g., USA, UK, China) due to commercial interest and availability of review data. Since the user’s attitudes and preferences can be affected by numerous sociocultural factors and demographic characteristics, it is necessary to have annotated review datasets belong to various demography. In this work, we first construct a review dataset BanglaRestaurant that contains over 2300 customer reviews towards a number of Bangladeshi restaurants. Then, we present a hybrid methodology that yields improvement over the best performing lexicon-based and machine learning (ML) based classifier without using any labeled data. Finally, we investigate how the demography (i.e., geography and nativeness in English) of users affect the linguistic characteristics of the reviews by contrasting two datasets, BanglaRestaurant and Yelp. The comparative results demonstrate the efficacy of the proposed hybrid approach. The data analysis reveals that demography plays an influential role in the linguistic aspects of reviews.
Code (0)
등록된 구현이 없습니다.
Tasks
Opinion MiningSentiment AnalysisSimilar Papers 제목 키워드 기반
Comparative Opinion Mining: A Review
Opinion mining refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in textual material. Opinion mining, also known as sentiment ana…
Opinion MiningSentiment AnalysisAnalysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining
Opinion mining, also known as sentiment analysis, is a subfield of natural language processing (NLP) that focuses on identifying and extracting subjective information in textual material. This can include determining the…
Emotion RecognitionOpinion MiningSentiment AnalysisSentiment Classification+1XAI-enhanced Comparative Opinion Mining via Aspect-based Scoring and Semantic Reasoning
Comparative opinion mining involves comparing products from different reviews. However, transformer-based models designed for this task often lack transparency, which can adversely hinder the development of trust in user…
Opinion MiningComparative Opinion Quintuple Extraction from Product Reviews
As an important task in opinion mining, comparative opinion mining aims to identify comparative sentences from product reviews, extract the comparative elements, and obtain the corresponding comparative opinion tuples. H…
Opinion MiningSentiment Analysis: A Survey
Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining o…
Opinion MiningSentiment AnalysisSurvey