A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kavya, K.
- Sentiment Analysis and Prediction using Text Mining
Authors
1 Department of Information and Technology, GRIET, Hyderabad - 500090, Telangana, IN
Source
Indian Journal of Science and Technology, Vol 10, No 28 (2017), Pagination:Abstract
Objectives: The main aim of the proposed system is to predict the ratings of a textual review using the concept of sentiment analysis. Prediction is an important process to know about the user sentiment. Methods/Statistical Analysis: This work has a sentiment-based rating prediction method (RPS) to upgrade the prediction accuracy in any recommender system. It basically constitutes of a factor used in predicting the rating. Initially, we calculate user’s sentiment on an item/ product based on user sentimental approach. We apply cosine similarity to find user’s sentiment similarity between the users. By taking user’s sentiment similarity into consideration we can fill the missing values and predict the rating for the products that have not been reviewed by the users. Findings: We assess the above two sentimental factors on a sample dataset collected. Eventually the results show that the sentiment distinguishes user preferences which let a helping hand to enhance the performance of the recommender system. The proposed system is executed and the results show 80% accuracy. This work is efficient in terms of the factors used. Application/Improvements: The system can be enhanced with the addition of other factors and fusing them to the recommender system. The use of matrix factorization can, however, be more efficient while using 2 or more factors.Keywords
Cosine Similarity, Prediction, Reviews, Sentiment Score, User Sentiment- Multiple Image Signature Scheme Based on DWT-SVD in YCbCr Color Space
Authors
1 Department of E.C.E. Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 9, No 8 (2017), Pagination: 158-162Abstract
The digital data on the internet is not secure, because the digital data is easily modified and copied. So that one system is need to prevent this unauthorized access of digital data for owner authentication. There are many systems available in the literature and one popular system is image signature. The DWT-based image signature algorithms have multi-resolution description characteristics are achieving imperceptibility. The SVD based image signature algorithms add the signature information to the singular values of the diagonal matrix achieving robustness requirements. An approach to a robust multiple-image signature method based on Discrete Wavelet Transform and Singular Value Decomposition in YCbCr color space is proposed to get good imperceptibility and robustness. The cover image is a signature with multiple images to meet better security from unauthorized persons. The proposed algorithm provides good robustness against various attacks.
Keywords
DWT, Imperceptibility, SVD, Robustness, Watermark Embedding and Watermark Extraction.References
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