Department of Computer Science (PG)

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    ANALYSIS ON USERS TEXTUAL OPINION TO PREDICT THEIR ACTION
    (Journal of the Gujarat Research Society, 2019-11) G, Anitha; M, Sownthariya
    Nowadays most of the E-Commerce websites are using opinion mining to understand the trends and problems with their products. Opinion mining is performed to analyze the natural language and to identify the emotions expressed by the users. It is useful in product recommendations. The idea behind the opinion mining uses text mining techniques such as NLP (Natural Language Processing) and the polarity of the reviews given for a particular product is predicted using a Lexicon-Based Dictionary approach. The achieved polarity will be used to predict whether the users will recommend the product or not to new users using Naïve Bayes classifier in machine learning.
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    BIG DATA TECHNOLOGIES
    (SRI KRISHNA ARTS AND SCIENCE COLLEGE, 2019-02-13) G, Anitha
    In the recent era Information technology has become an integral part of daily life as well as various other domains, like health, education, entertainment, science and technology, genetics or business operations. These industries generate large amount of data through various sources to run their businesses. This vast amount of data is big data. There is a need to analyze the data to understand and interpret market trends, study customer behavior, and to take financial decisions. Big data consist of large datasets range from terabytes to Exabyte that cannot be efficiently managed by traditional tools and techniques. Due to the rapid growth of such data, solutions need to be provided in order to handle and extract knowledge from these datasets. In order to process these large datasets in an efficient way a new architecture, techniques, algorithms, is required. Apache Hadoop, Apache Spark, Apache Storm, and Apache Flink etc is a frameworks for structuring Big Data, and making it useful for analytics purposes. In this paper, a survey on these new Big Data technologies is presented.
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    IMPLEMENTATION OF BIG DATA ANALYSIS ON POPULATION GROWTH IN GOVERNMENT SECTOR
    (G Narayanamma Institute of Technology and science for Women and Institute for engineering and Research and Publication(IFERP), 2019-08-29) S, Hardika; S, Akshaya; G, Anitha
    In this paper we are going to predict the population growth of India for the year 2021. This journal is a kind of survey that makes predictions of the population in 2021 using the available big data. Also, the paper has incorporated various data preparation, survey and also has some critical applications for government sector. In general, the census survey in India is taken in a period of once in 10 years, so this journal aims to predict the population approximately on the basis of big data, well in advance of the government survey.