Natural indicators of the electrical polarity of a direct current (DC) source is limited to semiconductor based diodes and transistors. Recently a novel bio-natural indicator of the polarity of a DC source have been reported. Mimosa Pudica or sensitive plant is found to be a natural detector of a DC source polarity, however the mechanism underlying this phenomenon is not known. This paper aims ...

We study the effective polarity of an air/liquid-mixture interface by using interface-selective heterodyne-detected electronic sum frequency generation (HD-ESFG) and vibrational sum frequency generation (HD-VSFG) spectroscopies. With water and N,N-dimethylformamide (DMF) chosen as two components of the liquid mixture, the bulk polarity of the mixture is controlled nearly arbitrarily by the mixi...

With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive and negative polarity are quite instrumental for sentiment analysis. However, most of the existing methods for identifying polarity of sentiment word...

a preliminary palaeomagnetic results from basalt outcrops in northeast lebanon is reported. the remanence carrier of the characteristic magnetisation is magnetite.  both variations of susceptibility and anisotropy directional data show that the measured directions of thermoremanent magnetisation (trm) are representative of the ambient field at the time of cooling of these basalts through their ...

A spectroscopic method, based on the interface selectivity of second-harmonic generation, is used to obtain the polarity of liquid interfaces. In this paper the second-harmonic measurement of the spectrum of the polarity indicator molecule N,N′-diethyl-p-nitroaniline (DEPNA) at the air/water interface demonstrates the method. Two different approaches are used to measure the intramolecular charg...

This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Personalized PageRanking Vector) to automatically generate polarity lexicons. We show that qwn-ppv outperforms other automatically generated lexicons for the four extrinsic evaluations presented here. It also shows very competitive and robust results with respect to manually annotated o...

This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Person-alized PageRanking Vector) to automatically generate polarity lexicons. We show that qwn-ppv outperforms other automatically generated lexicons for the four ex-trinsic evaluations presented here. It also shows very competitive and robust results with respect to manually annotated...

Opinion mining and sentiment analysis are two topics with growing interest in artificial intelligence. Last years' research on these areas has evolved in increasing complexity and sophistication with tasks such as opinion retrieval, sentiment extraction, classification and summarization being carried out using text mining and natural language processing techniques. Possible strategies go from c...

In this paper, we discuss how domainspecific noun polarity lexicons can be induced. We focus on the generation of good candidates and compare two machine learning scenarios in order to establish an approach that produces high precision. Candidates are generated on the basis of polarity preferences of adjectives derived from a large domain-independent corpus. The polarity preference of a word, h...