The task of developing effective text information classification systems requires the thoughtful analysis and synthesis variable components technology. These strongly affect practical efficiency requirements to data. For this purpose, a typical technology was discussed, comparing regular “learning from features” approach versus more advanced “deep learning” approach, that studies In order imple...

This study aimed at investigating shades of identity in TEFL textbooks. Most identity studies have focused on authors as knowledge producers. They have neglected authors' roles in constructing identity. Further, few scholars have considered disciplinary specific textbooks in their analyses of identity. Trying to bridge these gaps, we applied Halliday’s Systemic Functional Linguistics to investi...

We explore a semi-supervised approach for improving the portability of time expression recognition to non-newswire domains: we generate additional training examples by substituting temporal expression words with potential synonyms. We explore using synonyms both from WordNet and from the Latent Words Language Model (LWLM), which predicts synonyms in context using an unsupervised approach. We ev...

Textual emotion recognition has gained a lot of attention recent years; it is however less developed due to the complexity nature of emotion. In this paper, we start with the discussion of a number of fundamental yet unresolved issues concerning emotion, which includes its definition, representation and technology. We then propose an alternative solution for emotion recognition taking into acco...

The main objective of the designed experiments is testing the effects of geographical information retrieval from documents that contain geographical tags. In the designed experiments we try to isolate geographical retrieval from textual retrieval replacing all geo-entity textual references from topics with associated tags and splitting the retrieval process in two phases: textual retrieval from...

One of the main limitations attributed to Object Orientation (OO) by software engineers is the immaturity of the Object-Oriented Analysis (OOA) process. This article aims to propose a method to formalize this process. This method is based on the use of linguistic information from informal specifications. This information is composed of words which, in turn, denote elements of an OO modelling, s...

The semantic analysis of documents is a domain of intense research at present. The works in this domain can take several directions and touch several levels of granularity. In the present work we are exactly interested in the thematic analysis of the textual documents. In our approach, we suggest studying the variation of the theme relevance within a text to identify the major theme and all the...

While textual analysis of the journal literature is a burgeoning field, there is still a profound lack of user-friendly software for accomplishing this task. RLetters is a free, open-source web application which provides researchers with an environment in which they can select sets of journal articles and analyze them with cutting-edge textual analysis tools. RLetters allows users without prior...