Sentence examples for classification of the text from inspiring English sources

The final classifier is an LS-SVM array with Gaussian radial basis function (GRBF) kernel, which uses the coefficients generated by the latent semantic indexing algorithm for classification of the text titles.

Based on it, our system performs the following three fundamental steps to detect the table zones: classification of the text and non-text elements in the document image, detection of the ruling-line tables, and identification of the non-ruling-line tables.

The threshold value was calculated on a development data set and its acquisition shares the same process with classification of the text data described in the previous sections.

The first step in the process of classification of the text data is to propose an algorithm for extracting key phrases from examined domain (from development data).

Therefore, we were looking for a way of classification of the text data into predefined domains as good way as possible and adjustment of the parameters of language modeling for effective large vocabulary continuous speech recognition (LVCSR).

A large number of sentiment-type keywords are selected from the sample text to build an inventory of lexical categories, which are used as the judgment criterion for classification of all the text (Nan 2015; Shen et al. 2013; Xu and Chen 2016; Zhang et al. 2011a).

For classification of these text segments to the in-domain and out-of domain area, document similarity with automatic thresholding are used.

Given the workload, we decided to automate the classification of the free text answers to CAIQ questions using the supervised machine learning algorithms (sequential minimal optimization and string vectorization) provided by the WEKA tool [26].

Results: We show that our FS methodology successfully discards a large fraction of machine-generated features, improving classification performance of state-of-the-art text mining algorithms.

The relevant keywords are extracted and used for the classification of collated text (Bartov et al. 2015; Da et al. 2015; Sul et al. 2016).

The proposed algorithm can also be used in classification of heterogeneous text corpora into the other domains depending on the used development data.