Harmonization of German Lexical Resources for Opinion Mining
We present on-going work on the harmonization of existing German lexical resources in the field of opinion and sentiment mining. The input of our harmonization effort consisted in four distinct lexicons of German word forms, encoded either as lemmas or as full forms, marked up with polarity features, at distinct granularity levels. We describe how the lexical resources have been mapped onto each other, generating a unique list of entries, with unified Part-of-Speech information and basic polarity features. Future work will be dedicated to the comparison of the harmonized lexicon with German corpora annotated with polarity information. We are further aiming at both linking the harmonized German lexical resources with similar resources in other languages and publishing the resulting set of lexical data in the context of the Linguistic Linked Open Data cloud.
Code (0)
등록된 구현이 없습니다.
Tasks
Opinion MiningSentiment AnalysisSimilar Papers 제목 키워드 기반
Opinion Mining System for Processing Hindi Text for Home Remedies Domain
Opinion Mining (OM) is a field of study in Computer Science that deals with development of software applications related to text classifications and summarizations. Researchers working in this field contribute lexical re…
Opinion MiningSentencetext-classificationText ClassificationPublic Apologies in India - Semantics, Sentiment and Emotion
This paper reports a pilot study related to public apologies in India, with reference to certain keywords found in them. The study is of importance as the choice of lexical items holds importance which goes beyond the su…
Document ClassificationOpinion MiningSentiment AnalysisUBY-LMF -- A Uniform Model for Standardizing Heterogeneous Lexical-Semantic Resources in ISO-LMF
We present UBY-LMF, an LMF-based model for large-scale, heterogeneous multilingual lexical-semantic resources (LSRs). UBY-LMF allows the standardization of LSRs down to a fine-grained level of lexical information by empl…
Semantic Role LabelingWord Sense DisambiguationAnnotating Opinions in German Political News
This paper presents an approach to construction of an annotated corpus for German political news for the opinion mining task. The annotated corpus has been applied to learn relation extraction rules for extraction of opi…
BIG-bench Machine LearningOpinion MiningQuestion AnsweringRelation Extraction+2Evaluating Lexical Similarity to build Sentiment Similarity
In this article, we propose to evaluate the lexical similarity information provided by word representations against several opinion resources using traditional Information Retrieval tools. Word representation have been u…
Information RetrievalRetrievalSemantic SimilaritySemantic Textual Similarity+1