[PDF] Top 20 Evolving Lucene search queries for text classification
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Evolving Lucene search queries for text classification
... a search query and its fitness is evaluated by applying the search query to a potentially large text ...size evolving over 50 or more generations it is critical that such queries can be ... See full document
9
Evolved Apache Lucene SpanFirst Queries are Good Text Classifiers
... generating classification queries with no human input beyond the identification of training ...a text classifier has important advantages stemming from its compactness, its comprehensibility to ... See full document
8
Evolving rules for document classification
... building text classifiers there are usually a variety of options regarding pre- processing of documents and particular parameters ...to search for single terms, phrases or particular sequences of ... See full document
13
Language Identification of Search Engine Queries
... classification models that use the n-gram features have been proposed. (Cavnar and Trenkle, 1994) used an out-of-place rank order statistic to mea- sure the distance of a given text to the n-gram profile of ... See full document
9
Document clustering with evolved search queries
... Abstract— Search queries define a set of documents located in a collection and can be used to rank the documents by assigning each document a score according to their closeness to the query in the ... See full document
9
Indexing and Searching Document Collections using Lucene
... and search in a variety of ...keyword search queries such as wild card searches, Boolean queries, and fuzzy ...While Lucene is a highly sophisticated search engine, it is not ... See full document
47
Text Classification in the Field of Search Engines
... A model using Schwarz's criterion has been proposed to choose the best response from those offered by three different algorithms: naive Bayesian classifier, random forest and a vector support machine. For training and ... See full document
5
Evolving text classification rules with genetic programming
... building text classifiers there are usually a variety of options regarding pre- processing of documents and particular parameters ...to search for single terms, phrases or particular sequences of ... See full document
29
Application of textual relevance retrieval in patent information service
... to Lucene storage structure interface. Overall, we can use Lucene as a support full-text index database ...the search process has become ergodic process which is similar to the open books page ... See full document
9
A comparison of Lucene search queries evolved as text classifiers
... a search query for each category of the dataset and the fitness is evaluated by applying the search query to a potentially large set of text ...individuals) evolving over 100 or more ... See full document
21
A PARALLEL SCHEDULING SEQUENCE OF GF (P) EDWARDS COORDINATES COMPUTATION FOR ECC
... misspelled queries form more than 10% of search engines ...misspelled queries based on cause into different types, for example, typing quickly, Keyboard adjacency, Inconsistent rules, Ambiguous word ... See full document
12
Joint Annotation of Search Queries
... Table 2 presents a detailed analysis of the perfor- mance of the best independent (i-PRF) and joint (j- PRF) annotation methods by the three query types used for evaluation: verbal phrases, questions and keyword ... See full document
10
Web Search Queries as a Corpus
... Input data – from query logs containing click-through data, and from Delicious social bookmark tags, select queries and tags associated with a set of 4K Web documents – each document cli[r] ... See full document
41
Detecting Retries of Voice Search Queries
... of queries sampled from anonymized session ...(spoken queries) to be a potential retry pair if they are consecutive; we assume that a voice search cannot be a retry of another voice search if ... See full document
6
CLASSIFICATION OF SPARQL QUERIES INTO EQUIVALENCE CLASSES OF RELEVANT QUERIES
... The Resource Description Framework is used to store data in the form of a directed graph [2]. The contents of the directed graph are viewed as triples (subject, predicate, object), where the subject is related to the ... See full document
8
Research of a professional search engine system based on Lucene and Heritrix
... between search engine and ...Professional search engine and general search engine have the same working principle basically but two different: (1)When the spider crawled the webpage information, ... See full document
7
Fuzzy Multi-Join and Top-K Query Model for Search-As-You-Type in Multiple Tables
... a search engine is developed by ...of queries, or they use a lot of ...interactive search engine that realizes the proposed auto completion feature combined with support for proximity search, ... See full document
5
Handling big data of online social networks on a small machine
... the search speed would only be mildly affected, while the consump- tion of RAM would drop ...the search speed and the RAM occupancy by the nextword indexing, we set a threshold value on word-pair counts, so ... See full document
12
Tagging Address Queries in Maps Search
... address queries, we evaluate the performance of models per query and not per ...point queries (Yelp SP), Bi-RNN performs slightly better than se- quence to sequence ... See full document
5
Semantic Tagging of Web Search Queries
... web search queries is an important step in designing an intel- ligent search ...mapping queries into different domains ...query-level classification. We as- sume that the queries ... See full document
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