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Vaidya, Archana S.
- Literature Review of Opinion Target Extraction Techniques
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Authors
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1 Department of Computer Engineering, Gokhale Education Society's R. H. Sapat College of Engineering, Nashik, IN
1 Department of Computer Engineering, Gokhale Education Society's R. H. Sapat College of Engineering, Nashik, IN
Source
International Journal of Scientific Engineering and Technology, Vol 5, No 1 (2016), Pagination: 28-31Abstract
Public opinion on events and products has an increasing interest from customer as well as organizations. Today lot of work is being carried out in opinion mining. One of its parts is opinion target extraction. In this, opinion targets are extracted and analyzed using various methods. These methods include use of Word alignment model, Double propagation, Shallow semantic parsing and Conditional random fields. Conditional random fields (CRF) are used in cross domain settings for target extraction. CRF is also used in a cross language scenario in order to extract opinion target of another language. This paper involves a literature review of the mentioned methods.Keywords
Opinion Target Extraction, Double Propagation, Word Alignment Model, Shallow Semantic Parsing, Cross Language.Full Text
- A Survey Paper on Reversible Image Data Hiding
Abstract Views :144 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Engineering, Gokhale Education Society's R. H. Sapat College of Engineering, Nashik, IN
1 Department of Computer Engineering, Gokhale Education Society's R. H. Sapat College of Engineering, Nashik, IN
Source
International Journal of Scientific Engineering and Technology, Vol 5, No 1 (2016), Pagination: 32-36Abstract
Reversible data hiding (RDH) has been intensively studied in the community of signal processing. Also referred as invertible or lossless data hiding, RDH is to embed a piece of information into a host signal to generate the marked one, from which the original signal can be exactly recovered after extracting the embedded data. The earlier algorithm enhances the contrast of a host image to improve its visual quality, instead of trying to keep the PSNR value high. The highest two bins in the histogram are selected for data embedding so that histogram equalization can be performed by repeating the process. The original image is completely recoverable; the side information is embedded along with the message bits into the host image.Keywords
Contrast Enhancement, Histogram Modification, Reversible Data Hiding.Full Text