Volume 6 | Issue 1 |

 Abstract

Sentiment Analysis On Movie Reviews Using NAÏVE BAYES Classifier

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Sentiment Analysis On Movie Reviews Using NAÏVE BAYES Classifier

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Creative Commons Attribution 4.0 and The Open Definition

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Nowadays, a big part of people rely on available content social media in their decisions (e.g. reviews and feed back on a topic or product). The possibility that anybody can leave a review provide a golden opportunity for spammers to write spam reviews about products and services for different interests. Identifying these spammers and the spam content is a hot topic of research and although a considerable number of studies have been done recently toward this end, but so far the methodologies put forth still barely detect spam reviews, and none of them show the importance of each extracted feature type. In this study, we propose a novel framework, named NetSpam, which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification problem in such networks. Using the importance of spam features help us to obtain better results in terms of different metrics experimented on real-world review datasets from Yelp and Amazon websites. The results show that NetSpam outperforms the existing methods and among four categories of features; including review-behavioral, user-behavioral, review-linguistic, user-linguistic, the first type of features performs better than the other categories.

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 Keywords

Social Media, Social Network, Spammer, Spam Review, Fake Review, Heterogeneous Information Networks

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Mental pressure is undermining individuals' wellbeing. It is non-inconsequential to distinguish pressure opportune for proactive care. With the prevalence of web-based social networking, individuals are accustomed to imparting their day by day exercises and associating to companions via web-based networking media stages, making it plausible to use online informal community information for push recognition. In this paper, we find that clients push state is firmly identified with that of his/her companions in web-based social networking, and we utilize a substantial scale dataset from certifiable social stages to deliberately contemplate the relationship of clients' pressure states and social connections. We initially characterize an arrangement of stress-related literary, visual, and social traits from different viewpoints, and afterward propose a novel cross breed show - a factor chart demonstrate joined with Convolution Neural System to use tweet substance and social cooperation data for push identification. Exploratory outcomes demonstrate that the proposed model can enhance the identification execution by 6-9 percent in F1-score. By additionally dissecting the social communication information, we likewise find a few charming marvels, i.e., the quantity of social structures of scanty associations (i.e., with no delta associations) of focused on clients is around 14 percent higher than that of non-focused on clients, showing that the social structure of focused on clients' companions have a tendency to be less associated and less confounded than that of non-focused on clients.

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Mental Pressure, Convolution Neural System, Factor charts, Social connections.

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A natural language translator translates one language into another with the help of certain logic, rules and algorithms. Our work will translate Hindi language to Chhattisgarhi and vice-versa. We will also need a POS tagger for this which we have already created earlier and for making this work correctly we have taken help from linguistic expert from a university in Chhattisgarh who teaches Chhattisgarhi there. We have used an online tool Lingojam to make possible our translator is completely online and tool based.

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Translator, Chhattisgarhi, Hindi, lingojam

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 Abstract

saamaajik dhaarmik sudhaar aandolan mein raaja raamamohan raay ka yogadaan

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Creative Commons Attribution 4.0 and The Open Definition

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saamaajik dhaarmik sudhaar aandolan mein raaja raamamohan raay ka yogadaan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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magnesium oxide nanoparticles

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Cash Transaction, Digital Transaction, Interest Rate, Bank Rate, National Income.

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The novel analysis is based on the Enhanced Branch-and-Bound algorithm enlarged with reducing the search space. The future strategy builds up the optimal route from each source to the destination node by finding the best set of hops in each route and the optimal power allocation of each sensor node. To reduce the computational complication, we propose heuristic routing algorithms. In this heuristic algorithm, the power levels are selected from the most predefined values, the problem is formulated by an integer non-linear programming, and the Branch-and-Bound reduced space algorithm is used to solve the problem. We propose two sub-optimal algorithms to reduce the computation complexity. In the first algorithm, after selecting the optimal transmission power levels from a predefined value, a novel algorithm is used to explain the integer non-linear problem. In the second sub-optimal algorithm, we solve the problem by decoupling the optimal power allocation scheme from the optimal route collection. The statistical results reveal that the presented algorithm can prolong the network lifetime significantly compared with the existing schemes.

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WSN, MEMS, Structural health Monitoring, Energy lifetime

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Tourism as a concept compile attributes in services by configuring the quality sensations. The quality management is necessary for all the service clues which intimate caters of the consumer preference. The area and the destination path are clearly determined only with the help of quality attributes. The tourism characteristics of heterogeneous and seasonality is the major objective for the tourism industry to maintain quality in the service encounters both the producers and consumers concern. The different forms of tourism have discussed in the paper to enact the role of quality in the tourism arena. The integral parts of quality standards are included with the factors causing the faults in providing the quality and substantiality in their actions. The social aspects of quality are included in the paper with the modern development in the tourism industry. The paper is a conceptual theory based structure as an empirical view on the general descriptions based on the secondary data enumeration. The conclusive part is included based on the author understanding level of the information in the conceptual context.

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Tourism, Quality Management

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In this paper we deal with affine control systems on a non-compact Lie group cx+e group. First we study topological properties of the state space Ef(1) and the automorphism orbit of Ef(1). Affine control system, non-compact Lie group state space Ef(1). Affine control systems on the generalized Heisenberg Lie groups are studied. Affine algebra, automorphism.

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Affine algebra, automorphism non-compact Lie group, state space Ef(1), automorphism orbit of Ef(1), affine control system.

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Creative Commons Attribution 4.0 and The Open Definition