Results 11 to 20 of about 921,112 (274)
Sentiment without Sentimentality
, 2022 Völkerrechtsblog
Simon, Hendrik, Simpson, Gerry
openaire +2 more sources
Stock Information on Social Media and Stock Return
The Indonesian Journal of Accounting Research, 2022 Information on social media, both positive and negative, can spread quickly so that it can affect the company's stock price. This study aims to determine the effect of posting on Instagram on abnormal returns. The sample used is 2,675 posts from 18 stock
Zhulvira Syafitri, Ani Wilujeng Suryani
doaj +1 more source
Mining risk-related sentiment in corporate annual reports and its effect on financial performance
Technological and Economic Development of Economy, 2020 Models that predict corporate financial risk are important early-warning systems for corporate stakeholders. Most models to date have been developed using financial indicators.
Renáta Myšková, Petr Hájek
doaj +1 more source
American Economic Review, 2019 We develop a rational theory of liquidity sentiments in which the market outcome in any given period depends on agents’ expectations about market conditions in future periods. Our theory is based on the interaction between adverse selection and resale considerations giving rise to an intertemporal coordination problem that yields multiple self ...
Asriyan, Vladimir +2 more
openaire +3 more sources
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks [PDF]
, 2015 Sentiment analysis of online user generated content is important for many social media analytics tasks. Researchers have largely relied on textual sentiment analysis to develop systems to predict political elections, measure economic indicators, and so ...
Jin, Hailin +3 more
core +1 more source
Sentiment Lexicon Adaptation with Context and Semantics for the Social Web [PDF]
, 2017 Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics' feelings towards policies, brands, business, etc.
Bollen +7 more
core +1 more source
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages [PDF]
, 2018 Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models. Machine translation and bilingual word embeddings provide some relief through cross-lingual sentiment approaches.
Barnes, Jeremy +2 more
core +3 more sources
Econometrics meets sentiment : an overview of methodology and applications [PDF]
, 2020 The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis ...
Algaba, Andres +4 more
core +2 more sources
Convolutional Neural Network Based Classification of App Reviews
IEEE Access, 2020 An app store (i.e., Google Play) is a platform for mobile apps for almost every software and service. App stores allow users to browse and download apps and facilitate developers to keep an eye on their apps by providing ratings and reviews of the apps ...
Naila Aslam +3 more
doaj +1 more source
Classifying sentiment in microblogs: is brevity an advantage? [PDF]
, 2010 Microblogs as a new textual domain offer a unique proposition for sentiment analysis. Their short document length suggests any sentiment they contain is compact and explicit.
Bermingham, Adam, Smeaton, Alan F.
core +2 more sources