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Found 12 papers, 6 papers with code
Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market
Crude oil, a critical component of the global economy, has its prices influenced by various factors such as economic trends, political events, and natural disasters.
CrudeBERT: Applying Economic Theory towards fine-tuning Transformer-based Sentiment Analysis Models to the Crude Oil Market
Predicting market movements based on the sentiment of news media has a long tradition in data analysis.
Slot Filling for Extracting Reskilling and Upskilling Options from the Web
Disturbances in the job market such as advances in science and technology, crisis and increased competition have triggered a surge in reskilling and upskilling programs.
Inscriptis -- A Python-based HTML to text conversion library optimized for knowledge extraction from the Web
Inscriptis provides a library, command line client and Web service for converting HTML to plain text.
Harvest -- An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums
Most of the current solutions are also built for the more general case of content extraction from web pages and lack key features important for understanding forum content such as the identification of author metadata and information on the thread structure.
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications
Sentic computing relies on well-defined affective models of different complexity - polarity to distinguish positive and negative sentiment, for example, or more nuanced models to capture expressions of human emotions.
In Media Res: A Corpus for Evaluating Named Entity Linking with Creative Works
This corpus is used to evaluate a series of Named Entity Linking tools in order to understand the impact of the differences in annotation styles on the reported accuracy when processing highly ambiguous entities such as names of creative works.
Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion
Performing company valuations within the domain of biotechnology, pharmacy and medical technology is a challenging task, especially when considering the unique set of risks biotech start-ups face when entering new markets.
Improving Named Entity Linking Corpora Quality
Gold standard corpora and competitive evaluations play a key role in benchmarking named entity linking (NEL) performance and driving the development of more sophisticated NEL systems.
A Regional News Corpora for Contextualized Entity Discovery and Linking
This paper presents a German corpus for Named Entity Linking (NEL) and Knowledge Base Population (KBP) tasks.
Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources
We describe the goals and structure of the game, the underlying application framework, the sentiment lexicons gathered through crowdsourcing, as well as a novel approach to automatically extend the lexicons by means of a bootstrapping process.
