output
20202024
most citedAutomatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications

9 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2021 · cs.IRShow all

3 papers · 2 filters

cs.IR2021

Inscriptis -- A Python-based HTML to text conversion library optimized for knowledge extraction from the Web

Albert Weichselbraun

Inscriptis provides a library, command line client and Web service for converting HTML to plain text. Its development has been triggered by the need to obtain accurate text represe…

cs.IR2021★ 2 cited

Harvest -- An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums

Albert Weichselbraun, Adrian M. P. Brasoveanu, Roger Waldvogel +1

Automatic extraction of forum posts and metadata is a crucial but challenging task since forums do not expose their content in a standardized structure. Content extraction methods,…

cs.IR2021★ 9 cited

Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications

Albert Weichselbraun, Jakob Steixner, Adrian M. P. Braşoveanu +3

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 c…