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In this paper, we propose intuitionistic linguistic vector (ILV) as a tuple of intuitionistic linguistic numbers (ILNs). ILV can describe information which involves multiple linguistic terms according to different intuitionistic fuzzy values. Similarity measures for ILNs and ILVs are also given. The novel concepts are used to construct a classification algorithm (Intuitionistic Fuzzy Linguistic Vector...
Public entities such as companies and politicians increasingly use online social networks to communicate directly with their constituencies. Often, this public messaging is aimed at aligning the entity with a particular cause or issue, such as the environment or public health. However, as a consumer or voter, it can be difficult to assess an entity’s true commitment to a cause based on public messaging...
Journal impact indicators are widely accepted as possible measurements of academic journal quality. However, much debate has recently surrounded their use, and alternative journal impact evaluation techniques are desirable. Aggregation of multiple indicators offers a promising method to produce a more robust ranking result, avoiding the possible bias caused by the use of a single impact indicator...
Internet can be misused by cyber criminals as a platform to conduct illegitimate activities (such as harassment, cyber bullying, and incitement of hate or violence) anonymously. As a result, authorship analysis of anonymous texts in Internet (such as emails, forum comments) has attracted significant attention in the digital forensic and text mining communities. The main problem is a large number of...
In recent years, fuzzy utility mining has become an area of interest due to advancement of human reasoning. With regards to real applications, transactions in a database often involve things, such as transaction time, stamp, and much more. It is also noted that not all products in a store are displayed on the shelf, especially the seasonal ones. This paper, therefore, addresses these issues by presenting...
The vast and ever-increasing text posting in "social networks" such as Facebook and Twitter, during the last 15 years, has produced an immense and rich text repository for several areas of knowledge. Therefore, text mining has recently become a very active and attractive area of research in computer science. The limited current understanding of the knowledge represented in these repositories...
In this research paper, a rule based chunker is developed and evaluated. For the development of the chunker, handcrafted linguistic rules for mainly noun, adverb, verb, adjective phrases and conjuncts were generated. Indian Languages Chunk Tagset is used for annotations. In order to evaluate, 500 sentences of Hindi language tagged by HMM tagger were considered and given as an input to our chunker...
Product reviews contain a lot of useful information about product features and customer opinions. One important product feature is the complementary entity (products) that may potentially work together with the reviewed product. Knowing complementary entities of the reviewed product is very important because customers want to buy compatible products and avoid incompatible ones. In this paper, we address...
The use of technology to orchestrate learning activities in formal learning spaces is becoming commonplace. However, orchestration is arguably conducted in an ad hoc manner. This paper presents a comparative analysis between ad hoc orchestration-using the PortableApps platform-and organised orchestration-using an implemented workbench user interface. The effectiveness and impact on teaching experience...
The learning of morphological components in a natural language by means of segmentation of words to identify the prime chores of stems and affixes lead to effective morphological analysis. Morphological segmentation is an important step in the analysis of natural languages to identify its intricate properties. Remarkable approaches been used in order to construct an effective morphological segmentation...
Customer reviews in online websites has been increased a lot nowadays. Detecting aspects on those reviews are becoming a challenging task because of size complexity. Hence, an automated mechanism is needed to detect the product aspects from the online consumer reviews. In this paper we modeled an unsupervised technique to detect product aspects. In general, the product aspect may be single word or...
This paper presents a novel version of ExATO, a term extractor originally designed to extract relevant terms from corpora in Portuguese. In this new version not only corpora in Portuguese can be handled, but also texts in English are accepted. This extension is likely to offer the same quality pattern already achieved for Portuguese. In this paper, we draw the analysis of results in parallel corpora...
An ontology is a formal and explicit specification of a shared conceptualization. Manual construction of domain ontology does not adequately satisfy requirements of new applications, because they need a more dynamic ontology and the possibility to manage a considerable quantity of concepts that humans cannot achieve alone. Researchers have discussed ontology learning as a solution to overcome issues...
Recommender Systems (RS) are turned into remarkable tools in electronics commerce (e-commerce) in a way that they effectively find items which are suitable for user's interests. Techniques such as collaborative filtering and content-based filtering are designed for RS. One of the novel methods to recommend appropriate items is using the Ordered Weighted Averaging (OWA) operators to fuzzify the output...
Automatic summarization plays an important role in document processing system and information retrieval system. Generation of summary of a text document is a very important part of NLP. There are a number of scenarios where automatic construction of such summaries is useful. Text summarization is that process which convert a larger text into its shorter form maintaining its information. Summary of...
An original model of linguistic summaries extracted from episodic data is briefly presented. In particular, a class of linguistic summaries expressed as modal equivalences is considered. The model is tailored to the concept of autonomous agent systems, and is supported by several detailed, non-technical, natural language processing and knowledge representation theories. Complementary to the well known...
Document Summarization is a technique of conveying important information in a given document. It is one of the most important chores of Natural Language Processing as the summary produced is helpful for information retrieval systems, question answering systems, medical domain and news domain etc. Most of the summarization works in Indian languages are of extractive nature and not much work is oriented...
In the past, several algorithms were developed to mine fuzzy frequent itemsets (FFIs) in which each item is represented at most one linguistic term based on maximum scalar cardinality. In real-life situations, multiple fuzzy linguistic terms instead of the single one can, however, produce more useful and meaningful fuzzy association rules. The Apriori-based algorithm was developed to mine multiple...
In this paper, we report on changes made to a module that is taken by all first-year electronic engineering students, and which covers transferable and engineering skills. To improve students' perception of and learning experience on the module, half of the taught material was migrated from a traditional ‘physical’ lecture format to specially recorded ‘online’ lectures. The changes were evaluated...
Internet has experienced a deep change. Now, people can communicate among themselves and share information and experiences thanks to Web 2.0 technologies. One way of storing all these information in a sorted way implies the use of Fuzzy Ontologies. In this paper, a novel and automatic method that is capable of retrieving and storing information coming from Internet users has been designed. Thanks...
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