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3821
Arabic to English Machine Translation of Verb Phrases Using Rule-Based Approach
In: http://thescipub.com/PDF/jcssp.2012.277.286.pdf
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3822
Developing Partially-Transcribed Speech Corpus from Edited Transcriptions
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
In: http://www.acad.ro/sectii2002/proceedings/doc2010-1/13-Burileanu.pdf
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3824
ABSTRACT A TURKISH AUTOMATIC TEXT SUMMARIZATION SYSTEM
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
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
In: http://www.ijeert.org/pdf/v3-i1/9.pdf
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.
Keyword: natural language processing (LNP; Opinion mining; sentiment analysis; text mining
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?
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
In: http://csis.pace.edu/~marchese/CS835/Student_Readings/p52-ronnau.pdf
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3829
Web Service Programming for Biological Text Mining
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
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
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
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
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
Bakiri, Ghulum. - : Oregon State University
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3835
Deep Learning with Constraints for Answer-Agnostic Question Generation in Legal Text Understanding
Lamba, Deepti. - August
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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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3838
An information extraction tool for microbial characters
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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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