Senti NSetPSO large sized document level sentiment analysis using Neutrosophic Set and particle swarm optimization is popular PDF and ePub book, written by Amita Jain in 2024-09-22, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Senti NSetPSO large sized document level sentiment analysis using Neutrosophic Set and particle swarm optimization can be Read Online from any device for your convenience.
Senti NSetPSO large sized document level sentiment analysis using Neutrosophic Set and particle swarm optimization Book PDF Summary
In the last decade, opinion mining has been explored by using various machine learning methods. In the literature, document-level sentiment analysis has been majorly dealt with short-sized text only. For large-sized text, document-level sentiment analysis has never been dealt. In this paper, a hybrid framework named as ‘‘Senti-NSetPSO’’ is proposed to analyse large-sized text. Senti-NSetPSO comprises of two classifiers: binary and ternary based on hybridization of particle swarm optimization (PSO) with Neutrosophic Set. This method is suitable to classify large-sized text having more than 25 kb of size. Swarm size generated from large text can give a suitable measurement for implementation of PSO convergence. The proposed approach is trained and tested for large-sized text collected from Blitzer, aclIMDb, Polarity and Subjective Dataset. The proposed method establishes a co-relation between sentiment analysis and Neutrosophic Set. On Blitzer, aclIMDb and Polarity dataset, the model acquires satisfactory accuracy by ternary classifier. The accuracy of ternary classifier of the proposed framework shows significant improvement than review paper classifier present in the literature.
Detail Book of Senti NSetPSO large sized document level sentiment analysis using Neutrosophic Set and particle swarm optimization PDF
- Author : Amita Jain
- Release : 22 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 14 pages
- Language : English
- PDF File Size : 13,9 Mb
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