Machine learning on small size samples: A synthetic knowledge synthesis
Machine Learning is an increasingly important technology dealing with the growing
complexity of the digitalised world. Despite the fact, that we live in a 'Big data'world where …
complexity of the digitalised world. Despite the fact, that we live in a 'Big data'world where …
Comprehensive review of text-mining applications in finance
Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …
every sector of finance have grown immensely, text mining has emerged as an important …
[HTML][HTML] Enhancing construction safety: Machine learning-based classification of injury types
The construction industry is a hazardous industry with significant injuries and fatalities. Few
studies have used data-driven analysis to investigate injuries due to construction accidents …
studies have used data-driven analysis to investigate injuries due to construction accidents …
Influence of pre-processing strategies on the performance of ML classifiers exploiting TF-IDF and BOW features
AP Pimpalkar, RJR Raj - ADCAIJ: Advances in Distributed Computing …, 2020 - torrossa.com
Opinion Mining (OM) continues with the implementation of technology that can distinguish
positive and negative expressions that are part of conversations and remarks. Because of …
positive and negative expressions that are part of conversations and remarks. Because of …
Does investor sentiment on social media provide robust information for Bitcoin returns predictability?
D Guégan, T Renault - Finance Research Letters, 2021 - Elsevier
We use a dataset of approximately one million messages sent on StockTwits to explore the
relationship between investor sentiment on social media and intraday Bitcoin returns. We …
relationship between investor sentiment on social media and intraday Bitcoin returns. We …
Biasfinder: Metamorphic test generation to uncover bias for sentiment analysis systems
Artificial intelligence systems, such as Sentiment Analysis (SA) systems, typically learn from
large amounts of data that may reflect human bias. Consequently, such systems may exhibit …
large amounts of data that may reflect human bias. Consequently, such systems may exhibit …
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 …
Customer sentiment analysis and prediction of insurance products' reviews using machine learning approaches
MS Hossain, MF Rahman - FIIB Business Review, 2023 - journals.sagepub.com
The study's goal is to analyse and predict customer reviews of insurance products using
various machine learning techniques. We gathered consumer rating data from the Yelp …
various machine learning techniques. We gathered consumer rating data from the Yelp …
Explainable hybrid word representations for sentiment analysis of financial news
Due to the increasing interest of people in the stock and financial market, the sentiment
analysis of news and texts related to the sector is of utmost importance. This helps the …
analysis of news and texts related to the sector is of utmost importance. This helps the …
Using social media & sentiment analysis to make investment decisions
B Hasselgren, C Chrysoulas, N Pitropakis… - Future Internet, 2022 - mdpi.com
Making investment decisions by utilizing sentiment data from social media (SM) is starting to
become a more tangible concept. There has been a broad investigation into this field of …
become a more tangible concept. There has been a broad investigation into this field of …