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Hits 3.821 – 3.840 of 3.840
3821 |
Arabic to English Machine Translation of Verb Phrases Using Rule-Based Approach
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In: http://thescipub.com/PDF/jcssp.2012.277.286.pdf
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3822 |
Developing Partially-Transcribed Speech Corpus from Edited Transcriptions
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/987_Paper.pdf
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3823 |
RECENT ADVANCES IN ROMANIAN LANGUAGE TEXT-TO-SPEECH SYNTHESIS
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In: http://www.acad.ro/sectii2002/proceedings/doc2010-1/13-Burileanu.pdf
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3824 |
ABSTRACT A TURKISH AUTOMATIC TEXT SUMMARIZATION SYSTEM
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In: http://www.geocities.com/altanzeynep/411-112.pdf
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3825 |
Effective Sentiment Analysis of Social Media Datasets using Naive Bayesian Classification
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In: http://research.ijcaonline.org/volume99/number13/pxc3898274.pdf
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3826 |
©IJEERT www.ijeert.org 51 Sentiment Analysis Based on Dictionary Approach
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In: http://www.ijeert.org/pdf/v3-i1/9.pdf
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Abstract:
Abstract: Sentiment analysis has become upcoming topic in recent years, and sentiment dictionaries are essential for research in this field. Consumers regularly face the trade-off in purchase decisions so nowadays if one wants to buy a consumer product one prefer user reviews and discussion in public forums on web about the product. Many consumers use reviews posted by other consumers before making their purchase decisions. People have a tendency to express their opinion on various entities. As a result opinion mining has gained importance. Sentiment Analysis deals with evaluating whether this expressed opinion about the entity has a positive or a negative orientation. Consumers need to decide what subset of available information to use. Graphical analysis is a better option for this decision as they provide a quick indication of a review. However there are cases where such graphical representation are not available or detailed enough. Sentiment analysis text analysis techniques that automatically detect the polarity of text can help in these situations with more refined analysis.
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Keyword:
natural language processing (LNP; Opinion mining; sentiment analysis; text mining
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.4931 http://www.ijeert.org/pdf/v3-i1/9.pdf
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3827 |
Report on KDD Conference 2004 Panel Discussion Can Natural Language Processing Help Text Mining?
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In: http://www.sigkdd.org/explorations/issues/6-2-2004-12/nlpPanelKao.pdf
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3828 |
Merging Changes in XML Documents Using Reliable Context Fingerprints
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In: http://csis.pace.edu/~marchese/CS835/Student_Readings/p52-ronnau.pdf
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3829 |
Web Service Programming for Biological Text Mining
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In: http://lair.indiana.edu/sigirbio/final/ghanem.pdf
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3830 |
Experiments in CLIR Using Fuzzy String Search Based on Surface Similarity
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In: http://ltrc.iiit.ac.in/anil/papers/pp237-subramaniam.pdf
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3831 |
Modeling Click-through Based Word-pairs for Web Search
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In: http://research.microsoft.com/en-us/um/people/jfgao/paper/2013/sigirfp436-Jagarlamudi.pdf
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3832 |
Mining Entity Translations from Comparable Corpora: A Holistic Graph Mapping Approach
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In: http://www.postech.ac.kr/~swhwang/CIKM11a.pdf
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3833 |
On-line Reference Assignment for Anaphoric and Non-Anaphoric Nouns: A Unified, Memory-Based Model in ACT-R
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In: http://act-r.psy.cmu.edu/papers/760/p1403.pdf
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3834 |
Converting English text to speech : a machine learning approach
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3835 |
Deep Learning with Constraints for Answer-Agnostic Question Generation in Legal Text Understanding
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3836 |
Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.
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3837 |
Muak Sa-aak: Challenges of an Extensive Phoneme Inventory for a Contained Latin-Based Orthography
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3839 |
Exploring neural paraphrasing to improve fluency of rule-based generation
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3840 |
Documentation of P clue/ lexical class from Weka computer Web Service
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