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Full-Text Articles in Systems Architecture
Consolidated Study On Query Expansion, Abhishek Biruduraju
Consolidated Study On Query Expansion, Abhishek Biruduraju
UNLV Theses, Dissertations, Professional Papers, and Capstones
A typical day of million web users all over the world starts with a simple query. The quest for information on a particular topic drives them to search for it, and in the pursuit of their info the terms they supply for queries varies from person to person depending on the knowledge they have. With a vast collection of documents available on the web universe it is the onus of the retrieval system to return only those documents that are relevant and satisfy the user’s search requirements. The document mismatch problem is resolved by appending extra query terms to the …
Study Of Feature Selection Algorithms For Text-Categorization, Kandarp Dave
Study Of Feature Selection Algorithms For Text-Categorization, Kandarp Dave
UNLV Theses, Dissertations, Professional Papers, and Capstones
This thesis will discuss feature selection algorithms for text-categorization. Feature selection algorithms are very important, as they can make-or-break a categorization engine. The feature selection algorithms that will be discussed in this thesis are Document Frequency, Information Gain, Chi Squared, Mutual Information, NGL (Ng-Goh-Low) coefficient, and GSS (Galavotti-Sebastiani-Simi) coefficient . The general idea of any feature selection algorithm is to determine importance of words using some measure that can keep informative words, and remove non-informative words, which can then help the text-categorization engine categorize a document, D , into some category, C . These feature selection methods are explained, implemented, …