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The emotion tendency of sentiment word is divided into two types: static emotion tendency and dynamic emotion tendency. Basic semantic lexicon is static emotion tendency, in the real context, but it is different between static emotion tendency and dynamic emotion tendency. The paper proposes a method based on degree lexicon, negative lexicon and dependence relationship of sentence elements. The experimental...
Concordancing is a technique which analyzes text corpora to show how any given word or phrase in the text is used in the immediate contexts in which it appears. The main focus of this technique consist in discovering patterns and rules of authentic language use through analysis of actual usage, and generating theories of what does not account for the probable choices that speakers actually make. In...
The inter-sentence semantic relation is a semantic relation where exists between adjacent sentences in the context of the discourse. Accurate recognizing of inter-sentence semantic relation is of great significance to text understanding, text reasoning and text structure analysis. However, because of the impact of a number of factors, such as discourse context environment, anaphora resolution and...
Pattern technology of writing is widely used in machine writing systems. In pattern technology, there are two core issues about chunk as writing material in the pattern. One is chunk retrieval, the other is chunk packing. In this study, we focus on the problem of chunk retrieval and packing with given style, topic and content of practical writing. We proposed the concept of chunk, and discussed the...
In Information Retrieval (IR), the similarity scores between a query and a set of documents are calculated, and the relevant documents are ranked based on their similarity scores. IR systems often consider queries as short documents containing only a few words in calculating document similarity score. In Computer Aided Assessment (CAA) of narrative answers, when model answers are available, the similarity...
This paper presents a new approach for finding semantically similar words from large text collection using window based context methods. Previous studies on this problem mainly concentrate on finding new methods which are new combination of distance-weight measurement methods or new context methods. The main difference of our approach is that we focus on reprocessing of existing methods' outputs to...
This article concerned with reorganize new Braille symbols to represent the vibrations in the Arabic Quran, the aim of this study is building a system that translate the Quran verses to Braille symbols including new vibrations. This study limited for the (Noun + Scoon) vibrations, (Meem + Scoon) vibrations and (Lam + Scoon) vibrations. It builds on an existing translation system that combines a finite...
Content analysis is an important method in the research of computer supported collaborative learning. However, the general manual coding method for deeper content analysis is time consuming, which greatly limits the amount and scale of the analyzed content. On the other hand, the traditional text categorization technology has been used to support the interaction texts auto-coding, but the effect is...
Link context is a beneficial complement to the anchor text when we predict the topic of the target Web page. In this paper, we have defined the link context of the anchor text as a word set in which each word has dependency relationship with it. We have proposed an effective method for the extraction of the link context. Firstly, we have decomposed the whole sentence into some sub-clauses through...
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