Sentiment analysis is one part of natural language processing. can be done by lexicon based, or machine learning based. based on has advantage dynamism to meet with new datasets vocabulary. seeks understand the sentiments contained in a sentence. A sentence positive, neutral negative, its sentiments. have negative However, fact each does not always sentiment clearly. We try develop method that ...

Spatial colocation pattern mining is to discover the subsets of spatial objects frequently appearing together in adjacent geographic locations. In existing research, several algorithms were proposed for excavating maximal prevalent patterns. Furthermore, fuzzy neighborhood relationship(FNR) was employed evaluate proximity between instances improving accuracy results. However, approach discoveri...

The Tchebychev distance on fuzzy sets (FSs) has been proposed to construct a measure of proximity between two modalities in two-dimensional statistical description. parameterized symmetric difference operations and cardinality for intuitionistic (IFSs) proposed. This paper extends set the possibility sets. More precisely, we firstly use IFSs propose IFSs. From these, then deduce examples metric...

This paper is devoted to an extension of the inclusion operator. The main idea that we suggest is to relax the arguments of the inclusion by means of proximity-based modifiers in order to obtain a more tolerant inclusion. It is shown that the relaxation can be envisaged in order to design a tolerant inclusion whose result is either Boolean, or valued in the unit interval. The focus is particula...

Sometimes, we find decision situations in which it is difficult to express some preferences by means of concrete preference degrees. In this paper, we present a consensus model for group decision making problems in which the experts use linguistic interval fuzzy preference relations to represent their preferences. This model is based on two consensus criteria, a consensus measure and a proximit...

A set-theoretic framework is proposed for granular computing. Each element of a universe is associated with a nonempty family of neighborhoods. A neighborhood of an element consists of those elements that are drawn towards that element by indistinguishability, similarity, proximity, or functionality. It is a granule containing the element. A neighborhood system is a family of granules, which is...

We address the problem of automatically reconstructing m-manifolds of unknown topology from unorganized points in metric p-spaces obtained from a noisy measurement process. The point set is first approximated by a collection of oriented primitive fuzzy sets over a range of resolutions. Hierarchical multiresolution representation is then computed based on the relation of relative containment def...

R is a programming language and software environment for performing statistical computations and applying data analysis that increasingly gains popularity among practitioners and scientists. In this paper we present a preliminary version of a system to detect pairs of similar R code blocks among a given set of routines, which bases on a proper aggregation of the output of three different [0, 1]...

Textual queries in networks such as Twitter can have more than one label, resulting in a multi-label classification problem. To reduce computational costs, a low-dimensional representation of a large network is learned that preserves proximity among nodes in the same community. Similar to sequences of words in a sentence, DeepWalk considers sequences of nodes in a shallow graph and clustering i...