Search results with tag "Sen timent"
Learning Implicit Sentiment in Aspect-based Sentiment ...
aclanthology.orgwords, but still convey clear human-aware sen-timent orientation, which is known as implicit sentiment. However, recent neural network-based approaches paid little attention to im-plicit sentiment entailed in the reviews. To overcome this issue, we adopt Supervised Con-trastive Pre-training on large-scale sentiment-
Dual Graph Convolutional Networks for Aspect-based ...
aclanthology.orgsentiment analysis task that aims to determine sen-timent polarities of given aspects in a sentence. In Corresponding author. Figure 1: An example sentence with its dependency tree from the restaurant reviews. This sentence contains two aspects but with opposite sentiment polarities. Figure1, the comment is about a restaurant review.
CHAPTER Naive Bayes and Sentiment Classification
web.stanford.edusentiment toward a candidate or political action. Extracting consumer or public sen-timent is thus relevant for fields from marketing to politics. The simplest version of sentiment analysis is a binary classification task, and the words of the review provide excellent cues. Consider, for example, the follow-
Learning Word Vectors for Sentiment Analysis
ai.stanford.eduwork introduces extensions of LDA to capture sen-timent in addition to topical information (Li et al., 2010; Lin and He, 2009; Boyd-Graber and Resnik, 2010). Like LDA, these methods focus on model-ing sentiment-imbued topics rather than embedding words in a vector space. Vector space models (VSMs) seek to model words directly (Turney and Pantel ...
Investor Sentiment and the Cross-Section of Stock Returns
people.stern.nyu.eduShleifer (2000) surveys early work on sen-timent and limited arbitrage, two key ingredients here. Barberis and Shleifer (2003), Barberis, Shleifer, and Wurgler (2005), and Peng and Xiong (2004) dis-cuss category-level trading, and Fama and French (1993) document comove-ment of stocks of similar sizes and book-to-market ratios; uninformed demand