SentiStrength-SE: Exploiting domain specificity for improved sentiment analysis in software engineering text
Automated sentiment analysis in software engineering textual artifacts has long been
suffering from inaccuracies in those few tools available for the purpose. We conduct an in …
suffering from inaccuracies in those few tools available for the purpose. We conduct an in …
[HTML][HTML] Q-learning based system for path planning with unmanned aerial vehicles swarms in obstacle environments
Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV)
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
Analysis of how underlying topics in financial news affect stock prices using latent dirichlet allocation
S Feuerriegel, A Ratku… - 2016 49th Hawaii …, 2016 - ieeexplore.ieee.org
Companies listed on the stock markets are typically obliged to publicly disclose any
information that might have a significant influence on their stock prices. This transparency …
information that might have a significant influence on their stock prices. This transparency …
Negation scope detection in sentiment analysis: Decision support for news-driven trading
Decision support for financial news using natural language processing requires robust
methods that process all sentences correctly, including those that are negated. To predict …
methods that process all sentences correctly, including those that are negated. To predict …
[HTML][HTML] Safety AARL: Weight adjustment for reinforcement-learning-based safety dynamic asset allocation strategies
SJ Yoo, YH Gu - Expert Systems with Applications, 2023 - Elsevier
Dynamic asset allocation involves adjusting asset weights based on performance to reduce
risks according to market conditions. This paper proposes a novel framework called safety …
risks according to market conditions. This paper proposes a novel framework called safety …
SNIL: Generating Sports News From Insights With Large Language Models
To enhance the appeal and informativeness of data news, there is an increasing reliance on
data analysis techniques and visualizations, which poses a high demand for journalists' …
data analysis techniques and visualizations, which poses a high demand for journalists' …
Potential use-cases of natural language processing for a logistics organization
All industries like Healthcare and Medicine, Education, Marketing, e-commerce are using AI
and providing a technical advantage to these industries. Logistics is such an industry where …
and providing a technical advantage to these industries. Logistics is such an industry where …
Predicting sentence-level polarity labels of financial news using abnormal stock returns
Expert systems for automatic processing of financial news commonly operate at the
document-level by counting positive and negative term-frequencies. This, however, limits …
document-level by counting positive and negative term-frequencies. This, however, limits …
Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations
Textual materials represent a rich source of information for improving the decision-making of
people, businesses and organizations. However, for natural language processing (NLP), it is …
people, businesses and organizations. However, for natural language processing (NLP), it is …
Negation and speculation detection
NP Cruz Díaz, MJ Maña López - 2019 - torrossa.com
Negation and speculation are complex expressive linguistic phenomena that have been
extensively studied from a theoretical perspective (Morante & Sporleder, 2012). They modify …
extensively studied from a theoretical perspective (Morante & Sporleder, 2012). They modify …