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281
Classifying Business Marketing Messages on Facebook
In: http://research.microsoft.com/ia2011/n7.pdf
Abstract: Companies are increasingly using social media for marketing purposes. In this study we first demonstrate that although the majority of company posts on Facebook are aimed for direct sales and promotions, it is their communication messages that received the most attention from customers. We then trained an SVM classifier to automatically separate these two kinds of messages, hoping to use this tool to analyze messages from many companies and consequently monitor the evolution of their social media use over time. We found that the classifier trained with tf-idf weighted part-of-speech features performed best. It is better than classifiers trained with word features. Combining feature sets did not improve the performance. Feature ranking results show that this best-performed classifier captured the genre characteristics of direct marketing and communication messages.
Keyword: advertisement; Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval; communication; Content Analysis and Indexing – linguistic processing. General Terms Algorithms; Design; Experimentation. Keywords Social media; machine learning; marketing; Measurement
URL: http://research.microsoft.com/ia2011/n7.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.8311
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282
Automatic Document Indexing in Large Medical Collections
In: http://www.intelligence.tuc.gr/%7Epetrakis/publications/amte.pdf
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283
Time-Based Exploration of News Archives
In: http://www.mpi-sb.mpg.de/%7Ekberberi/publications/hcir2010.pdf
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284
Exploring Linguistic Features for Web Spam Detection: A Preliminary Study
In: http://airweb.cse.lehigh.edu/2008/submissions/piskorski_2008_linguistic_analysis_spam.pdf
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285
Effectiveness of Temporal Snippets
In: http://www.wssp.info/2009/WSSP2009AlonsoBaezaYatesGertz.pdf
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286
Statistical Machine Translation and Cross-Language IR: QMUL at CLEF 2006
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-Monz2006.pdf
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287
2011b. Social Context Summarization
In: http://keg.cs.tsinghua.edu.cn/jietang/publications/SIGIR11-Yang-et-al-social-context-summarization.pdf
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288
The bilingual system MUSCLEF
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/grauCLEF2006.pdf
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289
de Rijke. Overview of WiQA 2006
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-QACLEF-JijkounEt2006.pdf
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290
Logistic Regression for Metadata: Cheshire takes on Adhoc-TEL
In: http://clef.isti.cnr.it/2008/working_notes/larson_Adhoc_TEL.pdf
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291
SINAI at GeoCLEF 2006: Expanding the topics with geographical information and thesaurus
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-GeoCLEF-GarciaVegaEt2006.pdf
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292
CELI participation at CLEF 2006: Cross Language Delegated Search
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/CurtoniCLEF2006.pdf
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293
Efficient Question Answering with Question Decomposition and Multiple Answer Streams
In: http://www.clef-campaign.org/2008/working_notes/hartrumpf-paperCLEF2008.pdf
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294
P.: Cross-lingual Information Retrieval based on Multiple Indexes
In: http://clef.isti.cnr.it/2009/working_notes/sorg-paperCLEF2009.pdf
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295
Cheshire at GeoCLEF 2008: Text and Fusion Approaches for
In: http://clef.isti.cnr.it/2008/working_notes/larson_GeoCLEF.pdf
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296
CELI participation at ImageCLEF 2006: Comparison with the Ad-hoc track
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/CurtoniImageCLEF2006.pdf
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297
CUHK Experiments with ImageCLEF 2005 ∗
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/hoi05.pdf
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298
Monolingual and Bilingual Experiments in
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-GeoCLEF-GuillenEt2006.pdf
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299
UPV/BUAP Participation in WebCLEF 2006∗
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-WebCLEF-PintoEt2006.pdf
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300
Interest-based personalized search
In: http://home.business.utah.edu/actgp/Papers/Interest-based personalized search.pdf
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