Sentiment Analysis of News Event-based Social Network using Data Mining Technique

The increasing popularity of social media takes the attention of the internet users across the word wide to discuss and share the events/things they are interested on social media blogs/sites. Consequently, an explosive increase of social media data spread on the web has been promoting the development of analysis of social media news depending on the news or events, the latest trend of the social big data. The sentiment analysis of news event becomes an important research area for many real-world applications, such as public opinion monitoring for government and news recommendation of news websites.  In this paper, we perform sentiment analysis for news events based on posts, and comments of the users upon a news event. We use two data mining techniques namely naïve Bayesian and support vector machine to reveal what the polarity/meaning of the post is such as positive, negative or polarity. There are two main stages in performing this task called training and testing phases. The first phase uses the training datasets of the news event and the second phase use newly inputted data of the user to classify the polarity of the user news posts or comments. We then execute the experiments for each algorithm and then collect the experimental results and compare them with accuracy with known and unknown test data with different volumes of tweet transactions. According to the results, both of them can accurately reveal the opinions of the social network users

Uniformly Integrated Database Approach for Heterogenous Databases

The demands of more storage, scalability, commodity of heterogenous data for storing, analyzing and retrieving data are rapidly increasing in today data-centric area such as cloud computing, big data analytics, etc. These demands cannot be solely handled by relational database system (RDBMS) due to its strict relational model for scalability and adaptability. Therefore, NoSQL (Not only SQL) database called non-relational database is recently introduced to extend RDBMS, and now it is widely used in some software developments. As a result, it becomes challenges regarding how to transform relational to non-relational database or how to integrate them to achieve business purposes regarding storage and adaptability. This paper therefore proposes an approach for uniformly integrated database to integrate data separately extracted from individual database schema from relational and NoSQL database systems. We firstly try to map the data elements in terms of their semantic meaning and structures with the help of ontological semantic mapping and metamodeling from the extracted data. We then cover structural, semantical and syntactical diversity of each database schema and produce integrated database results. To prove efficiency and usefulness of our proposed system, we test our developed system with popular datasets in BSON and traditional sql format using MongoDB and MySQL database. According to the results compared with other proficient contemporary approaches, we have achieved significant results in mapping similarity results although running time and retrieval time are competitive with the others

A Study of Burkholderia pseudomallei in the Environment of Farms in Thanlyin and Hmawbi Townships, Myanmar.

Melioidosis is a tropical infection, first described in Myanmar but now rarely diagnosed there, which is widespread in Southeast Asia. The infection is predominantly acquired by people and animals through contact with soil or water. This study aimed to detect the causative organism, Burkholderia pseudomallei, in environmental samples from farms in Thanlyin and Hmawbi townships near Yangon, Myanmar. One hundred and twenty soil samples and 12 water samples were collected and processed using standard microbiological methods. Burkholderia species were isolated from 50 of the 120 (42%) soil samples but none of the water samples. Arabinose assimilation was tested to differentiate between B. pseudomallei and the nonpathogenic Burkholderia thailandensis, and seven of 50 isolates (14%) were negative. These were all confirmed as B. pseudomallei by a species-specific multiplex polymerase chain reaction (PCR). This is the first study to detect environmental B. pseudomallei in Myanmar and confirms that melioidosis is still endemic in the Yangon area

Implementing Myanmar Traditional Astrology Using Classification Rules with Decision Tree Algorithm

Data Mining is a step in the knowledge discovery process consisting of particular data mining algori- thms that, under some acceptable computational efficiency limitations, find patterns or models in data. Classification and prediction are two forms of data analysis that can be used to extract models describing important data classes or to predict future data trends. A Tree Classification algorithm is used to compute a decision tree. Decision trees are easy to understand and modify, and the model developed can be expressed as a set of decision rules.This system is intended to implement Myanmar Traditional Astrologyby using decision tree algorithm. In this system, training data of astrology are classified by decision trees algorithm and IF-THEN rules. Among Astrologies, five classes of them is represented in this paper. Depending upon the input data, the birthdate, of astrology, the system can classify the type of the astrology that is Aries or Taurus or Gemini and so on

EMPLOYEE PERCEPTION TOWARDS E-LEARNING PRACTICES OF KBZ BANK

E-learning has been an essential tool in not only education setting but also working environment as a result of the advances in information and communication technology. Especially organizational effectiveness can be achieved by training and skill development of employees with effective learning and development tool. Implementing training and skill development programs in banks helps in running banking business effectively, and makes the banks prepared to cope up with changes and developments. The research adopted a quantitative approach to examine all the employees in KBZ Bank who have studied e-learning courses with different features of contents. A total of 460 respondents were interviewed by using the structured questionnaires. The results revealed that there are four sets of factors which influence the success of E-Learning in KBZ bank. These are: employees’ characteristics (computers skills; motivation and attitudes); technology (quality of technology and effectiveness of infrastructure) and design and content (perceived ease of use and quality of content) and management support. In addition, the findings show that there are some differences in perceptions amongst employees according to gender, age, educational background, working experience and positions in the work. The main contribution of this research is that it addresses how employee perceives the e-learning practices

Geographical Analysis on Socio-economic Conditions of Pegado Village Tract in Sagaing Township

The study area, Pegado Village Tract lies to the northwest of Sagaing town and is about 6-miles far from that urban area with easy to access. This research emphasizes the socio-economy of Pegado Village Tract from a geographical point of view as it is located on the highway of Monywa-Mandalay and it has changing livelihood for local people so as to a new institutional service (Sagaing University). By analyzing, both qualitative (by interviewing) and quantitative methods (such as questionnaires survey) with local people, quality of living index method are also applied to assess the socio-economic conditions of the study area. For the study area, (15) indicators of social and economic conditions are considered at the micro-level (i.e. Household-level). (500) questionnaire’s responses are considered, out of (762) total households in Pegado Village Tract (2014). After accomplishing the analytical works, it is found that the socio-economy of Pegado Village Tract under a moderately high level (52.6 %) and high level (12.2 %). The required factors should be fulfilled by considering the facilities of health care, electricity, and upgrade of primary school in order to upgrade and to increase the socio-economic development of households (the rest of medium, moderately low and low levels-35.2 %) within Pegado Village Tract

Construction of the Myanmar Version of the Attitude toward Education Scale

The present study reports the results of an attempt to modify Mitchell's (1941) Attitude toward Education Scale to suit Myanmar cultural setting. The Attitude toward Education Scale developed by Mitchell assesses attitude toward education, school and school practices. This scale consists of 34 items. Seventeen items measure strict practices in school and another seventeen items measure less strict school practices. There are three main procedures in this study. Firstly, Mitchell's Attitude toward Education Scale was adapted into Myanmar version and an item analysis procedure was carried out by using a sample of 220 high school students. According to the results, 14 items measuring strict school practices and another 14 items measuring less strict school practices were significant at .05, .01 or .001 level. These remaining 28 items were organized as a single test and named as "The Myanmar version of the Attitude toward Education Scale (MAES)". Then, the internal consistency reliability of this test was evaluated by using Cronbach alpha with a sample of 220 subjects. The alpha coefficients were found to be .43 for the Strict Scale and .56 for the Less Strict Scale. Finally, test-retest reliability coefficients were examined with a sample of 207 high school students and the values were found to be .54 for Strict Scale and .67 for Less Strict Scale. The Myanmar version of the Attitude toward Education Scale appears to be an internally consistent and reliable measure of different attitudes upon education among high school students in Myanmar

Extraction of Hydrocolloids from Plants, Fruits, Skins and Eggs

Sodium alginate is natural polysaccharides that are extracted from brown seaweeds (Macrocystintetgrifolia).The preparation of sodium alginate is divided into five steps such as acidification, alkaline extraction, solid/liquid separation, precipitation and drying. For the preparation of sodium alginate, the varying amount of hydrochloric acid concentration, weight of sodium carbonate and volume of hypochlorite wert investigated The pectin from pomelo (Citrus Maxima) rind was used in the manufacture of jams, jellies and marmalades. The inherent bitterness and colouring matter in pomelo rinds were reduced by extraction with ethanol rather than normally used technique of boiling with ammonium chloride and adding appropriate preservative to extend its shelf-life. The extraction of gelatin from fish skin (Nga Gin) (Cirrhinus cirrhosis) and it was used in the preparation of marshmallow. In this research, fish skin was pretreated with hydrochloric acid or lime water and then gelatin was extracted using pure water. The extracted gelatin and pectin wert identified by the solubility test precipitate formations, development of turbidity test and gel formation test. Lecithin was extracted from quail yolk by using solvent partition method. Ethanol and hexane were used to extract total lipids. After that, acetone precipitation was necessary to remove cholesterol. The physio-chemical properties of prepared sodium alginate, pectin, gelatin and lecithin such as trace elements, moisture content, ash content, pH, colour and viscosity were determined and compared with Food and Agricultural Organization specification and British Pharmacopeia specifications. The resultant products of sodium alginate and pectin were identified by IT-IR spectroscopy

Energy Consumption Analysis of AODV and DSR routing protocols in Mobile Ad Hoc Network

MANET (Mobile Ad hoc Network) is selforganizing and self configuration and selfcontrolled network without the need of any basestation AP(Access Point). Mobility of nodes inMANET causes ever changing topologies. As one ofconstraints in MANET is limited battery resources,It is important to know energy efficiency of routingprotocols to limit the power consumption, prolongthe battery life and to improve the robustness of thesystem. This paper focuses on energy consumptionmetric Total Energy Consumed, Total RemainingEnergy and Energy Consumption per successfuldata delivery (ECSDD) in some of the routingprotocols in MANET such as DSR, AODV byvarying pause time, node velocity and packetsending rate and area of network. Simulation isdone by using NS-2

Secure Teaching Support System Using FTP Protocol

File Transfer Protocol (FTP) is the standard mechanism for copying a file from one host to another. Transferring file from one computer to another is one of the most common tasks expected for networking and internetworking environment. This thesis is intended to implement teaching support system for Computer Universities by using FTP.This system can assist the teachers in Computer Universities to cooperate over the network. It can deliver the ability to manage and access teaching materials. The teaching materials contains sample questions, sample answers, exam scope, lecture plan, postgraduates scope, other solutions and important information .While transferring files over network, it is needed to provide security for some important information. To provide the security, the system is implemented by using ElGamal Algorithm. The system uses a network operation system design to manage the entire network from a centralized point, (server).Sever has to transfer encrypted files over the network. On the receiving site, the encrypted files must be decrypted by the client to get the original data. Therefore the system can transfer files with the help of File Transfer Protocol and provides security using ElGamal algorithm