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1
Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification
In: Sensors; Volume 22; Issue 5; Pages: 1899 (2022)
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2
Investigating the impact of preprocessing on document embedding: an empirical comparison
In: ISSN: 1759-1163 ; EISSN: 1759-1171 ; International Journal of Data Mining, Modelling and Management ; https://hal.inrae.fr/hal-03574696 ; International Journal of Data Mining, Modelling and Management, Inderscience, 2021, 13 (4), pp.351-363 (2021)
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3
A Review of Urdu Sentiment Analysis with Multilingual Perspective: A Case of Urdu and Roman Urdu Language
In: Computers; Volume 11; Issue 1; Pages: 3 (2021)
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4
An LDA-based Approach for Product Attribute Identification from Online Customer Reviews
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5
Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
In: 11 ; 1 ; 61 ; 80 (2020)
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6
A large Portuguese corpus on-line: cleaning and preprocessing
Généreux, Michel; Hendrickx, Iris; Mendes, Amália. - : Springer-Verlag, 2019
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7
Improving subject-verb agreement in SMT
In: Vanmassenhove, Eva orcid:0000-0003-1162-820X , Du, Jinhua orcid:0000-0002-3267-4881 and Way, Andy orcid:0000-0001-5736-5930 (2016) Improving subject-verb agreement in SMT. In: Fifth Workshop on Hybrid Approaches to Translation (HyTra), 1 June 2016, Riga, Latvia. (2016)
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8
Text classification for spoken dialogue systems ...
Sergienko, Roman. - : Universität Ulm, 2016
Abstract: The main objective of this thesis is the application and evaluation of text classification approaches for speech-based utterance classification problems in the field of advanced spoken dialogue system (SDS) design. SDSs are speech-based human-machine interfaces that may be applied in various domains. A novel generation of SDSs should be multi-domain and user-adaptive. Designing of multi-domain user-adaptive SDSs is related to some utterance classification problems: domain detection of user utterances and user state recognition including user verbal intelligence and emotion recognition. Text classification approaches may be applied for the considered problems. Text classification consists of the following stages: feature extraction, term weighting, dimensionality reduction, and machine learning. The thesis has three aims: 1. To identify the best combinations of state-of-the-art text classification approaches for the considered utterance classification problems. 2. To improve utterance classification ...
Keyword: DDC 004 / Data processing & computer science; Machine learning; Spoken dialogue system; Spoken language; Sprachdialogsystem; Text classification; Text preprocessing; User interfaces Computer systems; Utterance classification
URL: https://oparu.uni-ulm.de/xmlui/handle/123456789/4058
https://dx.doi.org/10.18725/oparu-4019
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9
Examination and utilization of rare features in text classification of injury narratives
In: Open Access Dissertations (2016)
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10
Joint Segmentation and POS Tagging for Arabic Using a CRF-based Classifier
In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/855_Paper.pdf (2012)
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11
Évaluation de G-LexAr pour la traduction automatique statistique
In: TALN'11 ; https://hal.archives-ouvertes.fr/hal-01070023 ; TALN'11, Jun 2011, Montpellier, France. pp.261-266 (2011)
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12
Évaluation de G-LexAr pour la traduction automatique statistique
In: TALN'11 ; https://hal.archives-ouvertes.fr/hal-01070023 ; TALN'11, Jun 2011, Montpellier, France. pp.261-266 (2011)
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13
Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
In: DTIC (2009)
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14
PARADISE Based Search Engine at TREC 2009 Web Track
In: DTIC (2009)
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15
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
In: DTIC (2009)
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16
PLATO: Portable Language-Independent Adaptive Translation from OCR
In: DTIC (2008)
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17
IIT Kharagpur at TREC 2008 Blog Track
In: DTIC (2008)
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18
UTDallas at TREC 2008 Blog Track
In: DTIC (2008)
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19
A web smart space framework for information mining: a base for intelligent search engines
Naeem, M; Bajwa, IS; Amin, R-U. - : University of Lahore, 2006
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20
The MIT-LL/AFRL IWSLT-2006 MT System
In: DTIC (2006)
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