The use of SMT in financial news sentiment analysis Thomas Dohmen - PowerPoint PPT Presentation

Sep 22, 2023 •248 likes •383 views

The use of SMT in financial news sentiment analysis Thomas Dohmen SemLab SemLab founded in 2000 Software applications for: Finance Healthcare ViewerPro: semantic analysis platform for financial news (DowJones, Reuters, etc.)

The use of SMT in financial news sentiment analysis Thomas Dohmen
SemLab • SemLab founded in 2000 • Software applications for: – Finance – Healthcare • ViewerPro: semantic analysis platform for financial news (DowJones, Reuters, etc.) • Newssentiment.eu for financial news sentiment
Research Projects • SemLab participates in EU and nationally funded r&d projects • Collaboration with leading research institutes • Last decade: invested 5.8 million Euro in research
Research Topics • Semantic analysis technology suitable for wide ranging r&d: • Ontology • Language • Finance Tools • Social Media • …
Statistical Machine • Translation (SMT) Focus: Small European • languages Topic-specific translation • systems E.g. Business and Finance • language SemLab provides parallel • corpora for system training Integration into news • sentiment website
MT • Using LetsMT engine for translating output – Translate news events • Using LetsMT engine for translating input – E.g. Dutch financial news translated into English for semantic analysis – Evaluate translation quality from machine readable perspective
MT Standards • Standard API – Easy integration of MT system – Current Standards (e.g. Google API) too basic – Not rich enough for domain-specific MT • Data Collecting standards – Webcrawling: web polluted with bad MT data – Need for markup to distinct MT from human translations • General translation standard – Accessibility – Quality assurance
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