Browsing by Subject "Text processing"
Now showing items 1-11 of 11
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Convolutional neural networks for toxic comment classification
(2018)Flood of information is produced in a daily basis through the global internet usage arising from the online interactive communications among users. While this situation contributes significantly to the quality of human ... -
Crowd Sourcing as an Improvement of N-Grams Text Document Classification Algorithm
(2020)A common task in a world of natural language processing is text classification useful for e.g.spam filters, documents sorting, science articles classification or plagiarism detection. This can still be done best and most ... -
Dialogue-based personalized reflective learning
(2004)The Web-Based Reflective Tutorial Dialogue System (W-ReTuDiS) is a system for personalized learning of historical text comprehension on the Web. The system offers a two level open interface: tutor level and learner level. ... -
Discrimination and perception of the acoustic rendition of texts by blind people
(2007)This paper reports on the results from a series of psychoacoustic experiments in the field of the auditory representation of texts via synthetic speech which comprise similar acoustic patterns so called "paronyms". The ... -
Efficient processing of all-k-nearest-neighbor queries in the MapReduce programming framework
(2019)Numerous modern applications, from social networking to astronomy, need efficient answering of queries on spatial data. One such query is the All k Nearest-Neighbor Query, or k Nearest-Neighbor Join, that takes as input ... -
Enhancing Sedona (formerly GeoSpark) with Efficient k Nearest Neighbor Join Processing
(2021)Sedona (formerly GeoSpark) is an in-memory cluster computing system for processing large-scale spatial data, which extends the core of Apache Spark to support spatial datatypes, partitioning techniques, indexes, and ... -
Improving Distance-Join Query processing with Voronoi-Diagram based partitioning in SpatialHadoop
(2020)SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial datasets across several machines and improve spatial query processing performance compared to traditional Hadoop ... -
MRSLICE: Efficient RkNN Query Processing in SpatialHadoop
(2019)Nowadays, with the continuously increasing volume of spatial data, it is difficult to execute spatial queries efficiently in spatial data-intensive applications, because of the limited computational capability and storage ... -
RkNN query processing in distributed spatial infrastructures: A performance study
(2017)The Reverse k-Nearest Neighbor (RkNN) problem, i.e. finding all objects in a dataset that have a given query point among their corresponding k-nearest neighbors, has received increasing attention in the past years. RkNN ... -
Solon: A holistic approach for modelling, managing and mining legal sources
(2018)Recently there has been an exponential growth of the number of publicly available legal resources. Portals allowing users to search legal documents, through keyword queries, are now widespread. However, legal documents are ... -
Voronoi-diagram based partitioning for distance join query processing in spatialhadoop
(2018)SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial data across several machines and improve query processing performance compared to traditional Hadoop systems. ...