Sentiment analysis using deep learning architectures: a review
A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …
in the form of opinions and views about any topic or article, which results in an enormous …
Forecasting sales in the supply chain: Consumer analytics in the big data era
Forecasts have traditionally served as the basis for planning and executing supply chain
activities. Forecasts drive supply chain decisions, and they have become critically important …
activities. Forecasts drive supply chain decisions, and they have become critically important …
An unexpectedly large count of trees in the West African Sahara and Sahel
A large proportion of dryland trees and shrubs (hereafter referred to collectively as trees)
grow in isolation, without canopy closure. These non-forest trees have a crucial role in …
grow in isolation, without canopy closure. These non-forest trees have a crucial role in …
Evaluation of sentiment analysis in finance: from lexicons to transformers
Financial and economic news is continuously monitored by financial market participants.
According to the efficient market hypothesis, all past information is reflected in stock prices …
According to the efficient market hypothesis, all past information is reflected in stock prices …
Technical analysis and sentiment embeddings for market trend prediction
Stock market prediction is one of the most challenging problems which has been distressing
both researchers and financial analysts for more than half a century. To tackle this problem …
both researchers and financial analysts for more than half a century. To tackle this problem …
Bitcoin price change and trend prediction through twitter sentiment and data volume
Twitter sentiment has been shown to be useful in predicting whether Bitcoin's price will
increase or decrease. Yet the state-of-the-art is limited to predicting the price direction and …
increase or decrease. Yet the state-of-the-art is limited to predicting the price direction and …
[HTML][HTML] Twitter as a tool for forecasting stock market movements: A short-window event study
TM Nisar, M Yeung - The journal of finance and data science, 2018 - Elsevier
In order to explore the relationship between politics-related sentiment and FTSE 100
movements, we conducted a short-window event study of a UK based political event. We …
movements, we conducted a short-window event study of a UK based political event. We …
[PDF][PDF] Bitcoin Spread Prediction Using Social and Web Search Media.
M Matta, I Lunesu, M Marchesi - UMAP workshops, 2015 - academia.edu
In the last decade, Web 2.0 services such as blogs, tweets, forums, chats, email etc. have
been widely used as communication media, with very good results. Sharing knowledge is an …
been widely used as communication media, with very good results. Sharing knowledge is an …
[HTML][HTML] Exploiting textual and relationship information for fine-grained financial sentiment analysis
T Daudert - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis aims to identify the way in which sentiments are expressed in texts. State-
of-the-art approaches base their analyses solely on the given text, which complicates the …
of-the-art approaches base their analyses solely on the given text, which complicates the …
Improving stock price prediction using the long short-term memory model combined with online social networks
K Liu, J Zhou, D Dong - Journal of Behavioral and Experimental Finance, 2021 - Elsevier
To predict stock prices with effective information has always been a problem of great
significance in the fields of behavioral finance. In this paper, we predict the stock prices with …
significance in the fields of behavioral finance. In this paper, we predict the stock prices with …