Opinion mining refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in textual material. Opinion mining, also known as sentiment analysis, has received a lot of attention in recent times, as it provides a number of tools to analyse the public opinion on a number of different topics. Comparative opinion minin...

An effective strategy for accelerating the calculation of convex hulls for point sets is to filter the input points by discarding interior points. In this paper, we present such a straightforward and efficient preprocessing approach by exploiting the GPU. The basic idea behind our approach is to discard the points that locate inside a convex polygon formed by 16 extreme points. Due to the fact ...

We present a versatile and scalable algorithm for computing exact distances on real-world networks with tens of millions of arcs in real time. Unlike existing approaches, preprocessing and queries are practical on a wide variety of inputs, such as social, communication, sensor, and road networks. We achieve this by providing a unified approach based on the concept of 2-hop labels, improving upo...

ABSTRACT Minwise hashing is a standard technique in the context of search for approximating set similarities. The recent work [27] demonstrated a potential use of b-bit minwise hashing [26] for batch learning on large data. However, several critical issues must be tackled before one can apply b-bit minwise hashing to the volumes of data often used industrial applications, especially in the cont...

This paper deals with the problem of extracting the text information from complex ground from color document images. Developing general framework for separating the foreground text and background information from complex document image is still a challenging problem because of its high unpredictability and complexity. In this paper a new interval type-2 fuzzy based thresholding method is propos...

The clinical estimate of the foetal weight is probably one of the most difficult parameters to obtain in the prenatal control. Only very accurate foetal body measurements reflect the gestation age and the weight of the foetus. A model is presented that performs an automated foetal age and weight determination from ultrasound by means of biparietal diameter, femur lenght and abdominal circumfere...

The main objective of this project is fake currency detection using the image processing. Fake currency detection is a process of finding the forgery currency. After choose the image apply preprocessing. In pre-processing the image to be crop, smooth and adjust. Convert the image into gray color. After conversion apply the image segmentation. The features are extracting and reduce. Finally comp...

The paper presents an idea to combine variety of Natural Language Processing techniques with different classification methods as a tool for automatic prediction mechanism of related phenomenon. Different types of preprocessing techniques are used and verified, in order to find the best set of them. It is assumed that such approach allows to recognize the phenomenon which is related to the text....

Preemphasis of the speech signal at higher frequencies is a preprocessing step employed in various speech processing applications. In the present paper, the effect of preemphasis on vowel recognition performance is studied. Preemphasis of the speech signal is achieved hy the r;-~.-'-"der ,4:rr . . . . . :,~ ~r . . . . . . . . . . . . . . . . . . . . . . . ,,. the speech signal. Ceostral coeffic...

In Intelligent Debris Analysis, the large number of images to be processed requires signi cant time and memory resources. Moreover, image segmentation is di cult due to inconsistent illumination conditions. To address these problems, we propose a Z{shaped nonlinear transform for preprocessing that allows us to simultaneously obtain (a) a downsampled segmented image and (b) two novel features to...