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61
R.: WiSeNet: Building a Wikipedia-based semantic network with ontologized relations
In: http://wwwusers.di.uniroma1.it/~navigli/pubs/CIKM_2012_Moro_Navigli.pdf (2012)
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62
Alleviating Data Sparsity for Twitter Sentiment Analysis
In: http://ceur-ws.org/Vol-838/paper_01.pdf (2012)
Abstract: Twitter has brought much attention recently as a hot research topic in the domain of sentiment analysis. Training sentiment classifiers from tweets data often faces the data sparsity problem partly due to the large variety of short and irregular forms introduced to tweets because of the 140-character limit. In this work we propose using two different sets of features to alleviate the data sparseness problem. One is the semantic feature set where we extract semantically hidden concepts from tweets and then incorporate them into classifier training through interpolation. Another is the sentiment-topic feature set where we extract latent topics and the associated topic sentiment from tweets, then augment the original feature space with these sentiment-topics. Experimental results on the Stanford Twitter Sentiment Dataset show that both feature sets outperform the baseline model using unigrams only. Moreover, using semantic features rivals the previously reported best result. Using sentimenttopic features achieves 86.3 % sentiment classification accuracy, which outperforms existing approaches.
Keyword: Categories and Subject Descriptors I.2.7 [Artificial Intelligence; Data Sparsity; Experimentation Keywords Microblogs; Natural Language Processing—Text Analysis General Terms Algorithms; Opinion Mining; Semantic Smoothing; Sentiment Analysis; Twitter
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.6821
http://ceur-ws.org/Vol-838/paper_01.pdf
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63
Distributional Semantics with Eyes: Using Image Analysis to Improve Computational Representations of Word Meaning
In: http://clic.cimec.unitn.it/marco/publications/bruni-etal-acmmm-2012.pdf (2012)
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64
De l'usage du corpus semi-contrôlé dans la recherche en didactique des langues
In: Rencontres de l'ASDIFLE. FLE: L'instant et l'histoire 49 et 50 ; https://hal.archives-ouvertes.fr/hal-01510208 ; Rencontres de l'ASDIFLE. FLE: L'instant et l'histoire 49 et 50, Mar 2012, Paris, France. pp.39-47 (2012)
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65
Discovering value from community activity on focused question answering sites: a case study of Stack Overflow
In: http://www.cs.cornell.edu/Info/People/kleinber/kdd12-qa.pdf (2012)
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66
Are icons pictures or logographical words? Statistical, behavioral, and neuroimaging measures of semantic interpretations of four types of visual information
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67
Politiques scolaires et dispositifs de formation
In: Le français aujourd'hui, n179, 4, 2012-12-01, pp.101-112 (2012)
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68
Identifying task-based sessions in search engine query logs
In: http://pomino.isti.cnr.it/%7Esilvestr/wp-content/uploads/2011/02/wsdm2011.pdf (2011)
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69
Identifying task-based sessions in search engine query logs
In: http://www.dsi.unive.it/~orlando/PUB/wsdm2011.pdf (2011)
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70
Mark my words! Linguistic style accommodation in social media
In: http://www.cs.cornell.edu/~cristian/papers/accommodation.pdf (2011)
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71
Automatic Construction of a Context-Aware Sentiment Lexicon: An Optimization Approach
In: http://sifaka.cs.uiuc.edu/yuelu2/pub/www11-lexicon.pdf (2011)
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72
Automatic Construction of a Context-Aware Sentiment Lexicon: An Optimization Approach
In: http://www.www2011india.com/proceeding/proceedings/p347.pdf (2011)
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73
Language independent ranked retrieval with NeWT
In: http://goanna.cs.rmit.edu.au/~e76763/publications/cys11-adcs.pdf (2011)
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74
NTCIR9-GeoTime Overview - Evaluating Geographic and Temporal Search: Round 2, In this proceedings
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/01-NTCIR9-OV-GEOTIME-GeyF.pdf (2011)
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75
Frontex real-time news event extraction framework
In: http://users.cis.fiu.edu/~lzhen001/activities/KDD2011Program/docs/p749.pdf (2011)
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76
Usable gestures for blind people: understanding preference and performance
In: http://faculty.washington.edu/wobbrock/pubs/chi-11.05.pdf (2011)
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77
Integrating document clustering and . . .
In: http://users.cis.fiu.edu/~taoli/pub/a14-wang.pdf (2011)
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78
See what I'm saying? Using dyadic mobile eye tracking to study collaborative reference
In: http://www.soc.northwestern.edu/dgergle/resources/GergleClark_CSCW2011.pdf (2011)
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79
Ukp at crosslink: Anchor text translation for cross-lingual link discovery
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/07-NTCIR9-CROSSLINK-KimJ.pdf (2011)
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80
Improved video categorization from text metadata and user comments
In: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/37092.pdf (2011)
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