… comparative performance analyses of two Paragraph Vector algorithms, Distributed Memory
… on classifying Turkish columnist’s posts with two different DeepLearning4j Paragraph vector …

… the Turkish text classification problem, paragraph vector and … document representation
approaches to Turkish document … and applied them for document categorization in Turkish …

… based on the Paragraph Vector model (aka Doc2Vec) which represents documents as
vectors. These include k Nearest Neighborhood classifier (k NN), Support Vector Machines (SVM)…

… In this study, we approach the Turkish news categorization problem as an ad-hoc retrieval …
of paragraph vector models to compute and utilize document-wise similarities of Turkish news …

… model using Paragraph Vectors via news and tweet data. K-Nearest Neighbors (KNN)
The Doc2Vec model is compared with the Term Frequency-Reverse Document Frequency (TF-IDF…

… documents … Turkish tweets, and text classification success of method parameter changes
was investigated using two different methods of the algorithm mentioned as document vectors …

… representing document style was conducted. Based on this notion, we present a Turkish
document … Then, the same features are extracted from a query document and its feature vector is …

… In this paper a social text mining case will be presented that contains Turkish written text …
Tokenization aims to generate sparse vectors for documents that parsed into vector space. …

… by aligning sentences from 41,233 plagiarised documents. It is made available by Madnani
et … We report results obtained using Support Vector Classifier (SVC), which was adapted from …

… difficult in Turkish text document categorization than the any other language since Turkish
is … In this paper, we develop a Turkish document semantic categorization system which uses …