The increasing demand for information classification based on content in the age of social media and e-commerce has led to need automated product using their descriptions. This study aims evaluate various techniques this task, with a focus descriptions written Portuguese. A pipeline is implemented preprocess data, including lowercasing, accent removal, unigram tokenization. bag words method the...

Text classification task is a very common in natural language processing. The conventional text model often uses word bag or representation model, but the existing usually deals with long task, which not suitable for short classification. Short features are relatively fewer and need more sophisticated feature extraction, role of keywords play great importance roles text. In this paper, we propo...

Although filling the gap in reading comprehension gained momentum with the rise of the top-down approach, Vygotsky’ concept of scaffolding and the dual code  theory provided a strong support for the use of paratext to enhance comprehension. Scaffolding is dependent on other-regulation, one type of which is object-regulation. From this vantage-point, various types of paratext can function as sou...

background & aim :lack of adherence to prescribed medication is a main concern in medicine especially in chronic diseases. the aim of present study was to determine the effect of supportive text message on the adherence to treatment of depression. methods & materials : this quasi-experimental study was conducted on sixty eligible patients with diagnosis of depression who referred to a psychiatr...

This paper presents a Chinese short text classification method which considering extended semantic constraints and statistical constraints. This method uses “HowNet” tools to build the attribute set of concept. when coming to the part of feature expansion, we judge the collocation between the attribute words of original text and the characteristics before and after expansion as the semantic con...

Text classification is an important research problem in many fields. We examine a special case of textual content namely, short text. Examples of short text appear in a number of contexts such as online reviews, chat messages, twitter feeds, etc. In this research, we examine short text for the purpose of classification in internet auctions. The “ask seller a question” forum of a large horizonta...

accessing the secondary or implied meaning of the text is one of the most important aims of research in the field of literature because the literariness of the text arises from this kind of meaning.  implied meaning is expressed through language and various elements related to the literary genre, and would be referred to as the text’s “language.” in order to investigate the language of short st...

Computational models of memory are often expressed as hierarchic sequence models, but the hierarchies in these models are typically fairly shallow, reflecting the tendency for memories of superordinate sequence states to become increasingly conflated. This article describes a broad-coverage probabilistic sentence processing model that uses a variant of a left-corner parsing strategy to flatten ...