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Shanmuganathan, P.
- An Efficient Naive Bayes Classification for Sentiment Analysis on Twitter
Abstract Views :201 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science, Sri Ramakrishna Mission Vidyalaya, College of Arts and Science, Coimbatore-20, IN
2 Department of Computer Science, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-20, IN
1 Department of Computer Science, Sri Ramakrishna Mission Vidyalaya, College of Arts and Science, Coimbatore-20, IN
2 Department of Computer Science, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-20, IN
Source
Data Mining and Knowledge Engineering, Vol 7, No 5 (2015), Pagination: 180-185Abstract
Twitter is one of the large amounts of tweets contained social media site. That's being as a good platform for tracking and analyzing public sentiment. Nowadays the one of the important data mining research is sentiment analysis mining or opinion mining analyzing. That's why the sentiment analysis is attracting the researchers to find the critical information for decision making purpose in both of academic sides and also industry sides. This proposed system finds the sentiment variations. It implements existing FB-LDA and RCB-LDA algorithm with new Naive Bayes algorithm using C# .Net for effectively handle the class imbalance Problem of positive and negative changes made by improper sentiment label assignment also improves the accuracy significantly than the existing system.Keywords
Sentiment Analysis, FB-LDA, RCB-LDA, Opinion Mining, Tweets, Classification, Naive Bayes Etc.- In Vitro Anti-Oxidant Activity of the Various Extracts of Cassia auriculata L. Flower by UV Spectrophotometer
Abstract Views :198 |
PDF Views:0
Authors
Affiliations
1 Department of Biochemistry and Microbiology, Meenakshi Chandrasekaran College of Arts and Science, Pattukkottai, Thanjavur, Tamil Nadu, IN
1 Department of Biochemistry and Microbiology, Meenakshi Chandrasekaran College of Arts and Science, Pattukkottai, Thanjavur, Tamil Nadu, IN
Source
Asian Journal of Pharmacy and Technology, Vol 1, No 3 (2011), Pagination: 70-72Abstract
The present study was carried out in In-vitro antioxidant effects of the Petroleum Ether, Ethanol, and Methanolic flower extracts of Cassia auriculata L . The powder of flower of Cassia auriculata L was extracted sequentially with petroleum ether, ethanol and methanol using Soxhlet extractor and it was subjected to preliminary phytochemical studies for the identification of phytoconstituents by chemical tests. Antioxidant activity of the extract was evaluated by using Diphenyl picryl hydrazyl (DPPH) radical scavenging, and reducing power methods. The extracts of Cassia auriculata L had shown good DPPH (1, 1-diphenyl-2-picryl-hydrazyl) radical scavenging activity. BHA was used as standard antioxidant and positive control. The DPPH radical scavenging activity of the extracts was increased with the increasing concentration, the reducing power of extracts was carried out with ascorbic acid as a standard reducing agent. The Methanolic extract of Cassia auriculata L exhibited higher scavenging and reducing power than the other extracts. All the analysis was made with the use of UV Visible Spectrophotometer (Systronics 117, India). The observation suggest that the flower of Cassia auriculata L extracts has potent dose dependent anti oxidant activity, thus the Ethanobotanical claim of the plant being used in the cardio vascular disorder, muscle build up, nephro protection, anti inflammatory and as an aphrodisiac may be in part due to the antioxidant activity and also the presence of saponins and traces of Flavanoids ascertains that the Anti-oxidant activity.Keywords
Cassia auriculata L , Antioxidant, Reducing Power, DPPH, BHA, Ascorbic Acid.- Antibacterial Properties of the Methanol Extract from the Flower of Cassia auriculata L
Abstract Views :176 |
PDF Views:0
Authors
Affiliations
1 Meenakshi Chandra Sekaran College of Arts and Science, Pattukkottai-614 626, Tamil Nadu, IN
2 Department of Biochemistry, Meenakshi Chandra Sekaran College of Arts and Science, Pattukkottai -614 626, Tamil Nadu, IN
1 Meenakshi Chandra Sekaran College of Arts and Science, Pattukkottai-614 626, Tamil Nadu, IN
2 Department of Biochemistry, Meenakshi Chandra Sekaran College of Arts and Science, Pattukkottai -614 626, Tamil Nadu, IN
Source
Research Journal of Pharmacognosy and Phytochemistry, Vol 3, No 3 (2011), Pagination: 137-139Abstract
Antibacterial properties of methanol extract of Cassia auriculata flower was studied on three Gram positive and seven Gram negative bacteria by disc diffusion method. The extract showed zone of inhibition against Gram positive bacteria (Bacillus cereus, B. subtilis and B. megaterium) and Gram negative bacteria [Streptococcus aureus, E. Coli, Salmonella typhae, S. paratyphae, Pseudomonous sp (I), Pseudomonous sp (II) and Shigella sonnei].- In Vitro Antioxidant Evaluation of Mimosa pudica
Abstract Views :169 |
PDF Views:1
Authors
Affiliations
1 Meenakshi Chandrasekaran Arts and Science College, Dept. of Life Sciences, Pattukkottai-614626, Thanjavur, Tamilnadu, IN
1 Meenakshi Chandrasekaran Arts and Science College, Dept. of Life Sciences, Pattukkottai-614626, Thanjavur, Tamilnadu, IN