Search Results for author: Tobias Daudert

Found 11 papers, 2 papers with code

CoFiF Plus: A French Financial Narrative Summarisation Corpus

no code implementations LREC 2022 Nadhem Zmandar, Tobias Daudert, Sina Ahmadi, Mahmoud El-Haj, Paul Rayson

Natural Language Processing is increasingly being applied in the finance and business industry to analyse the text of many different types of financial documents.

A Web-based Collaborative Annotation and Consolidation Tool

1 code implementation LREC 2020 Tobias Daudert

These downfalls difficult their use in annotation tasks requiring varied text formats, prevent researchers to optimise the tool to the annotation task, and impede people with little programming knowledge to easily modify the tool rendering it unusable for a large cohort.

A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus

no code implementations9 Mar 2020 Tobias Daudert

We introduce FinLin, a novel corpus containing investor reports, company reports, news articles, and microblogs from StockTwits, targeting multiple entities stemming from the automobile industry and covering a 3-month period.

Sentiment Analysis

Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification

no code implementations WS 2018 Tobias Daudert, Paul Buitelaar

Social media{'}s popularity in society and research is gaining momentum and simultaneously increasing the importance of short textual content such as microblogs.

General Classification Sentiment Analysis +2

Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain

no code implementations WS 2018 Tobias Daudert, Paul Buitelaar, Sapna Negi

With the rising popularity of social media in the society and in research, analysing texts short in length, such as microblogs, becomes an increasingly important task.

General Classification Sentiment Analysis +1

SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

no code implementations SEMEVAL 2017 Keith Cortis, Andr{\'e} Freitas, Tobias Daudert, Manuela Huerlimann, Manel Zarrouk, H, Siegfried schuh, Brian Davis

This paper discusses the {``}Fine-Grained Sentiment Analysis on Financial Microblogs and News{''} task as part of SemEval-2017, specifically under the {``}Detecting sentiment, humour, and truth{''} theme.

Sentiment Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.