TY - GEN
T1 - Feature Based Opinion Mining for Mobile Reviews
AU - Gupta, Rahul
AU - Pathak, Satyam
AU - Sharma, Mansi
AU - Poornalatha, G.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Item surveys or client criticism has become an ideal platform for sellers to promote their goods and clients to expand their knowledge and purchase wisely. As the online system of buying and selling is expanding, a measure of client audits additionally has been expanded undeniably. Thus it is an intense assignment for retailers just as clients to peruse the surveys related with the item. Notion examination settle this issue by looking over free content audits and giving the assessment synopsis. Highlight based supposition based investigation strategies expands the granularity of notion of examination by dissecting extremity related with highlights in the given free content. The main objective of this work is to plan a system that predicts extremity and to plan a score which determines the stratum of extremity. Resulting component-level scores are summed up as per the clients' need of interest.
AB - Item surveys or client criticism has become an ideal platform for sellers to promote their goods and clients to expand their knowledge and purchase wisely. As the online system of buying and selling is expanding, a measure of client audits additionally has been expanded undeniably. Thus it is an intense assignment for retailers just as clients to peruse the surveys related with the item. Notion examination settle this issue by looking over free content audits and giving the assessment synopsis. Highlight based supposition based investigation strategies expands the granularity of notion of examination by dissecting extremity related with highlights in the given free content. The main objective of this work is to plan a system that predicts extremity and to plan a score which determines the stratum of extremity. Resulting component-level scores are summed up as per the clients' need of interest.
UR - http://www.scopus.com/inward/record.url?scp=85136787340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136787340&partnerID=8YFLogxK
U2 - 10.1109/ICAITPR51569.2022.9844200
DO - 10.1109/ICAITPR51569.2022.9844200
M3 - Conference contribution
AN - SCOPUS:85136787340
T3 - 2022 1st International Conference on Artificial Intelligence Trends and Pattern Recognition, ICAITPR 2022
BT - 2022 1st International Conference on Artificial Intelligence Trends and Pattern Recognition, ICAITPR 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Artificial Intelligence Trends and Pattern Recognition, ICAITPR 2022
Y2 - 10 March 2022 through 12 March 2022
ER -