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[HTML][HTML] Text classification algorithms: A survey
In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …
and texts that require a deeper understanding of machine learning methods to be able to …
Drug–drug interaction relation extraction based on deep learning: A review
Drug–drug interaction (DDI) is an important part of drug development and
pharmacovigilance. At the same time, DDI is an important factor in treatment planning …
pharmacovigilance. At the same time, DDI is an important factor in treatment planning …
Syntactic n-grams as machine learning features for natural language processing
In this paper we introduce and discuss a concept of syntactic n-grams (sn-grams). Sn-grams
differ from traditional n-grams in the manner how we construct them, ie, what elements are …
differ from traditional n-grams in the manner how we construct them, ie, what elements are …
Polyhope: Two-level hope speech detection from tweets
Hope is characterized as openness of spirit towards the future, a desire, expectation, and
wish for something to happen or to be true that remarkably affects human's state of mind …
wish for something to happen or to be true that remarkably affects human's state of mind …
[KNIHA][B] Fundamentals of predictive text mining
SM Weiss, N Indurkhya, T Zhang - 2010 - Springer
Previously we authored “Text Mining: Predictive Methods for Analyzing Unstructured
Information.” That book was geared mostly to professional practitioners, but was adaptable …
Information.” That book was geared mostly to professional practitioners, but was adaptable …
Towards an intelligent framework for multimodal affective data analysis
An increasingly large amount of multimodal content is posted on social media websites such
as YouTube and Facebook everyday. In order to cope with the growth of such so much …
as YouTube and Facebook everyday. In order to cope with the growth of such so much …
[KNIHA][B] Develo** enterprise chatbots
B Galitsky - 2019 - Springer
Develo** Enterprise Chatbots Page 1 Develo** Enterprise Chatbots Boris Galitsky
Learning Linguistic Structures Page 2 Develo** Enterprise Chatbots Page 3 Boris Galitsky …
Learning Linguistic Structures Page 2 Develo** Enterprise Chatbots Page 3 Boris Galitsky …
A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges
Extremism has grown as a global problem for society in recent years, especially after the
apparition of movements such as jihadism. This and other extremist groups have taken …
apparition of movements such as jihadism. This and other extremist groups have taken …
Investigating evasive techniques in sms spam filtering: A comparative analysis of machine learning models
The persistence of SMS spam remains a significant challenge, highlighting the need for
research aimed at develo** systems capable of effectively handling the evasive strategies …
research aimed at develo** systems capable of effectively handling the evasive strategies …
Assessment of reading difficulty levels in Russian academic texts: Approaches and metrics
In this paper we explore to what extent text parameters, such as average number of words
per sentence, syllables per word, nouns per sentence, frequency of content words, etc. can …
per sentence, syllables per word, nouns per sentence, frequency of content words, etc. can …