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Mob. No.-+919456138619GENERATION OF HILBERT AND METRIC SPACES FOR THE DEMONSTRATION OF LINGUISTIC VARIATIONS
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In: http://www.ima.umn.edu/preprints/feb2010/2296.pdf (2010)
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SENTENCES FROM ACTIVE VOICE TO PASSIVE VOICE
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In: http://www.ima.umn.edu/preprints/mar2009/2245.pdf (2009)
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ANALYSIS OF THE ROLE OF ENTROPIES AND ASSIGNMENT OF RANKS TO THE FEATURES IN GENRE DISCRIMINATION
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In: http://www.tmrfindia.org/sutra/v4i13.pdf
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Abstract:
Genre or style, an important property of text, and automatic text genre discrimination is becoming important for classification and retrieval purposes as well as for many natural language processing tasks. Various methods with feature cue vectors have been used for genre discrimination, which utilize different statistical measures corresponding to a range of linguistic features. Since all features of a text are not equally useful so for better results and to reduce the dimensionality of used spaces, it becomes necessary to select those features which have the capacity to discriminate between categories in a better manner. In order to achieve this aim, a technique known as feature selection is commonly applied in text classification. These techniques attempt to select the subset of features in text categorization that are most useful for the categorization task. We propose to use a ranking technique for feature selection with the help of a completely randomized design method for features and square deviations of property weights with their applications to familiar measures such as syntactic features, vocabulary features and ‘most frequent words’. It has been established that besides part of speech probabilities, their entropies play an important role in the discrimination process.
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Keyword:
Categorization; Completely randomized design; Entropy; Features; Rank; Square deviations
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.9394
http://www.tmrfindia.org/sutra/v4i13.pdf
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| 4 |
and Computer Application
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In: http://www.ijcaonline.org/volume5/number3/pxc3871269.pdf
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Tools in Stemming
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In: http://www.ijcaonline.org/volume27/number6/pxc3874530.pdf
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Text Summarization for Information Retrieval using Pattern Recognition Techniques
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In: http://www.ijcaonline.org/volume21/number10/pxc3873501.pdf
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Removal of Network Ambiguities through Knowledge based System Pradeep Kumar
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In: http://research.ijcaonline.org/volume57/number14/pxc3883605.pdf
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