Review Sentiment(评论情绪)研究综述
Review Sentiment 评论情绪 - In particular, female solo travelers are more likely to be conscious of review sentiment and choose more often female hosts than male solo travelers. [1]特别是，女性独行旅客更有可能意识到评论情绪，并且比男性独行旅客更常选择女性房东。 [1]
Product Review Sentiment 产品评论情绪
So, we need accurate opinion-based product review sentiment analysis which will help both customers and product manufacturer to understand and focus on a particular aspect of the product. [1] We recommend a unique deep studying framework for product review sentiment classification which employs prevalently to be had rankings as susceptible supervision signs and symptoms. [2]因此，我们需要准确的基于意见的产品评论情绪分析，这将帮助客户和产品制造商了解并专注于产品的特定方面。 [1] 我们推荐一个独特的产品评论情感分类深度研究框架，该框架普遍采用排名作为易感监管标志和症状。 [2]
Online Review Sentiment 在线评论情绪
In the context of e-commerce, accurate prediction of customer demand, typically captured by sales volume, requires careful analysis of multiple factors, namely, type of product, country of purchase, price, discount rate, free delivery option, online review sentiment etc. [1] In this paper, an online review sentiment classification method based on topic analysis of text document and semantic analysis of sentiment words is proposed. [2]在电子商务的背景下，准确预测客户需求（通常以销量衡量）需要仔细分析多种因素，即产品类型、购买国家、价格、折扣率、免费送货选项、在线评论情绪等. [1] 本文提出了一种基于文本文档主题分析和情感词语义分析的在线评论情感分类方法。 [2]
review sentiment analysi 回顾情绪分析
So, we need accurate opinion-based product review sentiment analysis which will help both customers and product manufacturer to understand and focus on a particular aspect of the product. [1] With the incremental growth of Web based platforms, Automated Review sentiment analysis has become main focus, with the very primary purpose is to get the implicit information by the reviews for the better acknowledgement of the customers. [2] Review sentiment analysis has drawn a lot of active research interest because of the explosive growth in the amount of available reviews in our day-to-day activities. [3] We propose a new feature extraction approach utilising position embeddings to generate a medical domain enhanced sentiment lexicon with position encoding representation for drug review sentiment analysis. [4] The accuracy of the film review sentiment analysis is influenced by the complexity and diversity of the film review on social networks. [5]因此，我们需要准确的基于意见的产品评论情绪分析，这将帮助客户和产品制造商了解并专注于产品的特定方面。 [1] 随着基于Web的平台的增量增长，自动评论情感分析已成为主要关注点，其主要目的是通过评论获得隐含的信息，以便更好地获得客户的认可。 [2] 由于我们日常活动中可用评论数量的爆炸式增长，评论情绪分析引起了很多积极的研究兴趣。 [3] 我们提出了一种新的特征提取方法，利用位置嵌入来生成具有位置编码表示的医学领域增强情感词典，用于药物评论情感分析。 [4] 影评情感分析的准确性受到社交网络影评的复杂性和多样性的影响。 [5]
review sentiment classification 评论情绪分类
We recommend a unique deep studying framework for product review sentiment classification which employs prevalently to be had rankings as susceptible supervision signs and symptoms. [1] 78%, respectively in the task of student review sentiment classification. [2] In this paper, an online review sentiment classification method based on topic analysis of text document and semantic analysis of sentiment words is proposed. [3] Recent studies have found that incorporating user and product information can effectively improve the performance of review sentiment classification. [4]我们推荐一个独特的产品评论情感分类深度研究框架，该框架普遍采用排名作为易感监管标志和症状。 [1] 78%，分别在学生评论情感分类的任务中。 [2] 本文提出了一种基于文本文档主题分析和情感词语义分析的在线评论情感分类方法。 [3] 最近的研究发现，结合用户和产品信息可以有效地提高评论情感分类的性能。 [4]