Emotion analysis using multilayered networks for graphical representation of tweets
Anticipating audience reaction towards a certain piece of text is integral to several facets of
society ranging from politics, research, and commercial industries. Sentiment analysis (SA) …
society ranging from politics, research, and commercial industries. Sentiment analysis (SA) …
[HTML][HTML] Identification of innovation drivers based on technology-related news articles
Innovations contribute to economic growth. Hence, knowledge about drivers of innovation
activities is a necessary input for economic policy making when it comes to implement …
activities is a necessary input for economic policy making when it comes to implement …
Reducing Computational Costs in Sentiment Analysis: Tensorized Recurrent Networks vs. Recurrent Networks
G Lopez, A Nguyen, J Kaul - arxiv preprint arxiv:2306.09705, 2023 - arxiv.org
Anticipating audience reaction towards a certain text is integral to several facets of society
ranging from politics, research, and commercial industries. Sentiment analysis (SA) is a …
ranging from politics, research, and commercial industries. Sentiment analysis (SA) is a …
How are You Really Doing? Dig into the Wheel of Emotions with Large Language Models
This study explores the application of Large Language Models (LLMs) for Emotion Analysis
on social media, focusing on predicting 80 diverse emotions. After comprehensive …
on social media, focusing on predicting 80 diverse emotions. After comprehensive …
Advancing Capability Matching in Manufacturing Reconfiguration with Large Language Models
This paper introduces an approach that integrates Natural Language Processing (NLP) and
knowledge graphs with Reconfigurable Manufacturing Systems (RMS) to enhance flexibility …
knowledge graphs with Reconfigurable Manufacturing Systems (RMS) to enhance flexibility …