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Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features
Josi, Frieda; Wartena, Christian (Prof. Dr.); Heid, Ulrich. - : AIRCC Publishing Corporation, 2022. : Hannover : Hochschule Hannover, 2022
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Verbal Idioms: Concrete Nouns in Abstract Contexts ...
Charbonnier, Jean; Wartena, Christian. - : Hochschule Hannover, 2021
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3
Sentiment Independent Topic Detection in Rated Hospital Reviews ...
Wartena, Christian; Sander, Uwe; Patzelt, Christiane. - : Association for Computational Linguistics, 2021
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4
Extending Linear Indexed Grammars ...
Wartena, Christian. - : Association for Computational Linguistics, 2021
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Verbal Idioms: Concrete Nouns in Abstract Contexts ...
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Verbal Idioms: Concrete Nouns in Abstract Contexts ...
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7
Representing Standard Text Formulations as Directed Graphs
Josi, Frieda; Wartena, Christian (Prof. Dr.); Heid, Ulrich (Prof. Dr.). - : Cham : Springer, 2021. : Hannover : Hochschule Hannover, 2021
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Verbal Idioms: Concrete Nouns in Abstract Contexts
Wartena, Christian (Prof. Dr.); Charbonnier, Jean. - : Hannover : Hochschule Hannover, 2021
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9
Predicting the Concreteness of German Words ...
Charbonnier, Jean; Wartena, Christian. - : Hochschule Hannover, 2021
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10
HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures ...
Wartena, Christian. - : Association for Computational Linguistics, 2021
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11
Predicting the Concreteness of German Words
Wartena, Christian (Prof. Dr.); Charbonnier, Jean. - : Hannover : Hochschule Hannover, 2020
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12
Sentiment Independent Topic Detection in Rated Hospital Reviews
Patzelt, Christiane (Dr.); Sander, Uwe (Prof. Dr.); Wartena, Christian (Prof. Dr.). - : Association for Computational Linguistics, 2019. : Hannover : Hochschule Hannover, 2019
Abstract: We present a simple method to find topics in user reviews that accompany ratings for products or services. Standard topic analysis will perform sub-optimal on such data since the word distributions in the documents are not only determined by the topics but by the sentiment as well. We reduce the influence of the sentiment on the topic selection by adding two explicit topics, representing positive and negative sentiment. We evaluate the proposed method on a set of over 15,000 hospital reviews. We show that the proposed method, Latent Semantic Analysis with explicit word features, finds topics with a much smaller bias for sentiments than other similar methods.
Keyword: Benutzererlebnis; ddc:020; ddc:410; Information Retrieval; Krankenhaus
URL: https://serwiss.bib.hs-hannover.de/frontdoor/index/index/docId/2076
https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-20766
https://serwiss.bib.hs-hannover.de/files/2076/wartena_et_al2019-sentiment_hospital_reviews.pdf
http://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-20766
https://doi.org/10.25968/opus-2076
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Predicting Word Concreteness and Imagery
Charbonnier, Jean; Wartena, Christian (Prof. Dr.). - : Stroudsburg, Pennsylvania : Association for Computational Linguistics, 2019. : Hannover : Hochschule Hannover, 2019
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14
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts
Heid, Ulrich; Wartena, Christian (Prof. Dr.); Josi, Frieda. - : Hannover : Hochschule Hannover, 2019
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15
A Probabilistic Morphology Model for German Lemmatization
Wartena, Christian (Prof. Dr.). - : Hannover : Hochschule Hannover, 2019
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Predicting Word Concreteness and Imagery ...
Charbonnier, Jean; Wartena, Christian. - : Association for Computational Linguistics, 2019
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17
Using Word Embeddings for Unsupervised Acronym Disambiguation ...
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18
Using Word Embeddings for Unsupervised Acronym Disambiguation
Charbonnier, Jean; Wartena, Christian (Prof. Dr.). - : Hannover : Hochschule Hannover, 2018
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19
Clustering von deutschen Ortsnamen
Wartena, Christian [Verfasser]; Ederberg, Hans-Peter [Verfasser]. - Hannover : Hochschule Hannover, 2017
DNB Subject Category Language
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20
Editorial for the 17th European Networked Knowledge Organization Systems Workshop (NKOS 2017) ...
Mayr, Philipp; Tudhope, Douglas; Golub, Koraljka. - : Hochschule Hannover, 2017
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