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Sowmiya, G.
- A Comprehensive Review of Aspect Identification and Sentiment Classification Techniques for Users Reviews
Abstract Views :390 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, IN
2 Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, IN
1 Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, IN
2 Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 1 (2016), Pagination: 15-18Abstract
Nowadays Merchants sell their products to the customers using online websites and also ask their customers to give their reviews about the purchased product. As e-commerce is becoming more popular, the reviews for the product are also increasing more rapidly. If a product is popular and good, there will be hundreds of reviews for that particular product. So it makes difficulty for the customers to read all the opinions in the reviews and abstract the most important opinions. It is also difficult for the manufacturer to manage and view all the customer reviews. The reviews which are given by the users are unorganized. And also it is inefficient for the customers to read all the opinions of the users to identify the important aspects. A single product may have several aspects. Some aspects for a particular product play a major role in deciding about the whole product, and they also depict the whole product. Identification of the important aspects becomes as an essential one, so customers can concentrate on that aspect and easily buy that product without any confusion. The aspects which play an important role in the reviews should be abstracted and then it should be classified to identify whether it is a positive or negative opinion by the customer. This paper explains about the various techniques and their description, to identify the important aspects for a product and to classify them.Keywords
Aspect Identification, Product Aspects, Sentiment, Classification, Customer Reviews.
- Study on Coding Models for Lossless Compression
Abstract Views :155 |
PDF Views:1
Authors
G. Sowmiya
1,
N. Ajitha
1
Affiliations
1 Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore, Tamilnadu, IN
1 Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore, Tamilnadu, IN
Source
Digital Image Processing, Vol 10, No 3 (2018), Pagination: 50-52Abstract
Digital Image Processing is a rapidly evolving field with growing applications in Science and Engineering. The rapid growth of digital technology has motivated the need for better compression algorithms. Image compression is the application of data compression on digital images. In effect, he objective is to reduce redundancy of the image data in order to be able to store or transmit data in efficient form. There are many applications based on image compression, such as document, medical images, magnetic resonance imaging (MRI) and radiology, motion pictures etc. Lossless image compression techniques preserve the information so that exact reconstruction of the image is possible from the compressed data. This paper presents various coding models for lossless image compression.
Keywords
Lossless Compression, Arithmetic Coding, Huffman Coding, LZW Coding, Run Length Encoding, Redundancy, Weights, Code-To-String, Pair of Form.- A Cross-Sectional Study on the Physical Activity of Selected Elderly Diabetics
Abstract Views :429 |
PDF Views:193
Authors
Affiliations
1 Department of Nutrition and Dietetics, PSG College of Arts and Science, Coimbatore – 641014, Tamil Nadu, IN
1 Department of Nutrition and Dietetics, PSG College of Arts and Science, Coimbatore – 641014, Tamil Nadu, IN
Source
FoodSci: Indian Journal of Research in Food Science and Nutrition, Vol 7, No 2 (2020), Pagination: 16-23Abstract
Regular exercise may prevent or delay the development of Type 2 Diabetes Mellitus (T2DM). In addition to moderate-to vigorous-intensity exercise, daily physical activity is also important for the prevention and management of T2D. Elderly diabetics (50-70 years) were selected from the PSG Hospitals - a multi-specialty hospital. A Diabetes Self-Management Questionnaire (DSMQ) was developed to be locally relevant. The validity and reliability was checked before administration of the questionnaire. Data on glycemic control, energy expenditure, and physical activity (MET) were recorded. Physical activity from age 50-60 and 60-70 years were similar as indicated by the 24hr physical activity pattern and MET values. We observed a progression of the metabolic disorder with age as shown by HbA1c values Physical activity and exercise recommendations, therefore, should be tailored to meet the specific needs of each individual.Keywords
Elderly Diabetics, Metabolic Equivalent Task (MET), Physical Activity, Type 2 Diabetes.Full Text
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