A Three Stage Summarization Framework for Product Recommendation from Opinion Tweets
Salina Adinarayana1, E Ilavarasan2
1Salina Adinarayana*, Department of Computer Science and Engineering, Raghu Institute of Technology, Visakhapatnam, India
2E Ilavarasan, Department of Computer Science Engineering, Pondicherry Engineering College, Pondicherry, India
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 630-632 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3776049620/2020©BEIESP | DOI: 10.35940/ijitee.F3776.049620
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents a three stage framework for feature -based rank of opinions around target product and features in a collection of product review tweets as twitter corpus. The main stages of the framework are discussed and presented the analysis of the sentiment with respect to features of the digital camera sales in ecommerce sites.
Keywords: framework, target product
Scope of the Article: Patterns and frameworks