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Setia, Sonia
- An Intelligent LZWS Compression Algorithm to Achieve High Compression by Using an Efficient Technique
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International Journal of Innovative Research and Development, Vol 2, No 13 (2013), Pagination:Abstract
Data compression is a key component for data storage systems and for communication purposes. Lempel-Ziv-Welch (LZW) data compression algorithm is popular for data compression because it is an adaptive algorithm and achieves an excellent compromise between compression performance and speed of execution. LZW is a dictionary based data compression algorithm, which compress the data in a lossless manner so that no information is lost. But LZW algorithm fails in case of small amount of data. In this case it expands the data instead of compressing it. In this paper a system is proposed to achieve high compression even if data file contains small amount of data.
Keywords
Compression, Encryption, AdaptiveFull Text
- Sentimental Analysis using Product Review Data
Abstract Views :176 |
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Affiliations
1 Assistant Professor, Sharda University, Greater Noida, Uttar Pradesh,, IN
2 Assistant Professor, Sharda University, Uttar Pradesh, Greater Noida,, IN
3 Student, Sharda University, Greater Noida, Uttar Pradesh,, IN
4 Sharda University, Greater Noida, Uttar Pradesh,, IN
1 Assistant Professor, Sharda University, Greater Noida, Uttar Pradesh,, IN
2 Assistant Professor, Sharda University, Uttar Pradesh, Greater Noida,, IN
3 Student, Sharda University, Greater Noida, Uttar Pradesh,, IN
4 Sharda University, Greater Noida, Uttar Pradesh,, IN
Source
Telecom Business Review, Vol 15, No 1 (2022), Pagination: 11-16Abstract
Our work systematically analyze the sentiment of product reviews and evaluate the correlation with their corresponding ratings.Sentiment analysis identifies the positive or negative mood represented in a piece of literature. Consumers write reviews withprecise ratings on e-commerce platforms such as Amazon. We’ve noticed that there are occasionally discrepancies between thereview and the rating. We performed deep learning guided sentiment analysis to identify such mismatches from amazon productreview data. We convert reviews to vectors using paragraph vector and use them to develop a neural network using a GRU orgated recurrent unit our perspective makes advantage of both the semantic link between review content and product information.Keywords
Sentiment Analysis, RNN, SVM, GRU.
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