Sentiment analysis or Opinion mining is the process of detecting the subjective information in given text. Text may include subjective information like opinions, attitudes and feelings. Sentiment analysis also has an important potential role as enabling technologies for other systems. This paper employed two semi supervised probabilistic approaches called JST model and Reverse JST model to detect sentimental topic. The system designed in this paper classifies positive and negative labels of an online review. In JST, the document level sentiment classification is based on topic detection and topic sentiment analysis. JST process, the sentiment labels are associated with documents, the topics are generated dependent on sentiment distribution and words are generated conditioned on the sentiment topic pair. In Reverse JST, the sentiment label is dependent on the topics. In this process, where the topics are associated with documents, the sentiment labels are associated with topics and words are associated with both topics and sentiment labels. In LDA, where topic are associated with documents and words are associated with topic distribution. JST and Reverse JST are evaluated on four different domains using the Gibbs Sampling Algorithm. The nature of JST makes it highly portable to other domains. It compares JST and Reverse JST with latent dirichlet allocation. In this paper observed topic and topic sentiment detected by JST are indeed coherent and informative.

This study aims to analyze the relationship between internal governance mechanisms and risk-taking by banks in\nTunisia. Empirical analyzes conducted from a sample of 10 Tunisian banks during an analysis period of 8 years\nfrom 2002 to 2009, also show significant results. Indeed, the concentration of capital and the size of banks have\nnegative impact and highly significant risk on banks. In addition, Tunisian banks are foreign owned and tend to\ntake less risk than other banks. As for the participation of the state in the capital, it has increased the risk in\nTunisian banks. In addition, the size of the board has a positive and highly significant impact on bank risks, while\nthe proportion of institutional administrators on the board is negatively and significantly related to the risk.

Transition to a market economy in Central and Eastern Europe countries was not successful for most of them, and to this situation have contributed a number of external and internal factors. After the collapse of communism the focus was on restructuring the industries through privatization process. Privatization in Central and Eastern Europe can not be seen only as a change of ownership but rather as a complex economic transformation. The transition to private ownership has not been fast, the privatization mechanisms differ from one state to another, which led to the establishment of a long period of decline. This article seeks to analyze the main aspects of the transformation from Central and Eastern European societies by approaching the main issues of privatization and its evolution in the most important central and eastern European countries.

Detection of Malicious behaviour or compromised node before transmitting the data packets in pervasive computing is quite a big challenge. This Paper presents an Intelligent Malicious Behaviour Detection Model (IMBDM) on a self-detection scheme. We investigated that by using probabilistic methodology in MANET, a node is able to detect the malicious behaviour of a neighbour by forwarding the RREQ. Our proposed artificial Intelligence detection model is also proficient to (1) manage the malicious counter if any neighbour node acts as malicious, (2) for crystal detection our proposed protocol also manages queue information for controlling minimum packet loss ratio and adopts the next optimum path, and (3) to real time dynamic path selection on the basis of minimum Signal to Noise Ratio (SNR). In simulation experiments, we achieved the expected results for fair malicious behaviour detection.

Whether it is considered a new offense or partly a special form of the offense of\nbodily harm of the Criminal Code in force, one thing is certain that the offense of harm of\nthe fetus has the role to complete the legal frame for the protection of the fetus and the\nanalysis of the active subject of this offense is important from the perspective of knowing\nfrom whom the fetus is being protected by the means of the criminal law.

The diurnal dynamics of the vertical distribution of zooplankton was studied in Bhoj Wetland, Bhopal. Vertical distribution of the zooplankton community in general showed a clear diurnal variation in the water columnof a typical stratified lake.Zooplankton concentration was found to be high at the surface layer during night hours with peak abundance around the middle of the night and another peak was observed just before sunrise, followed by a rapid nadir after sunrise. Zooplankton can offset the loss of daytime foraging opportunity by moving up into the water column to graze at night, when predation by visual predators is greatly reduced and it can be also attributed to light intensity which is responsible for vertical migration during the twenty four hour cycles.Among different classes, cladocerans and the copepod showed nocturnal migration conversely rotifers, had a relatively uniform distribution throughout the water column. Out of the twenty three species, Bosmina species and Cyclops species ascended at night and descended during day hours,however, Keratella cochlearis showed uniformity in distribution throughout the water columnduring the study.