Results 81 to 90 of about 23,355,349 (344)
Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold [PDF]
, 2013 Sentiment analysis over Twitter offers organisations and individuals a fast and effective way to monitor the publics' feelings towards them and their competitors.
Alani, Harith +3 more
core +1 more source
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Molecular Oncology, EarlyView.Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations
IEEE Access, 2021 Sentiment analysis is crucial for studying public opinion since it can provide us with valuable information. Existing sentiment analysis methods rely on finding the sentiment element from the content of user-generated.
Zunwang Ke +4 more
doaj +1 more source
Molecular Oncology, EarlyView.The 5th edition of the European Code Against Cancer (ECAC5) contains 14 recommendations on cancer prevention. Here, we update the cancer prevention recommendations regarding the use of hormone replacement therapy (HRT), which is positioned as recommendation number 13 of the ECAC5.
Mangesh A. Thorat +18 more
wiley +1 more source
Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic Text
Journal of Intelligent Systems, 2020 Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a given piece of text. It lies at the intersection of many fields such as Natural Language Processing (NLP), Computational Linguistics, and Data Mining. Sentiments
Elfaik Hanane, Nfaoui El Habib
doaj +1 more source
A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon
Complexity, 2021 Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Sentiment lexicon is an essential tool for sentiment analysis.
Maokang Du, Xiaoguang Li, Longyan Luo
doaj +1 more source
Automatic Dream Sentiment Analysis [PDF]
, 2006 In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph +4 more
core
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
, 2017 The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable ...
AP Aprosio +7 more
core +1 more source
Sentiment analysis of health care tweets: review of the methods used. [PDF]
, 2017 BACKGROUND: Twitter is a microblogging service where users can send and read short 140-character messages called "tweets." There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area ...
Darzi, A, Gohil, S, Vuik, S
core +1 more source
RoBERTa-LSTM: A Hybrid Model for Sentiment Analysis With Transformer and Recurrent Neural Network
IEEE Access, 2022 Due to the rapid development of technology, social media has become more and more common in human daily life. Social media is a platform for people to express their feelings, feedback, and opinions.
Kian Long Tan +3 more
semanticscholar +1 more source