International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Sentiment Analysis on Student Feedback Using RNN

Author : Ayisha Sumayya K ¹ Roshni Joseph ² Saisree R K ³ Sneha Satheesh T ⁴ Deepthi P ⁵ Rahna C M ⁶

Date of Publication :19th July 2022

Abstract: Almost all organizations collect feedback to improve the quality of service provided. Frequent and ongoing feedback analysis is inevitable for the development of any organization. But handling this huge amount of data is time-consuming and not economical. In the present feedback system, qualitative analysis of data is not possible. It may require huge manpower to analyze the feedback. Also, the currently used grading system is not useful in conveying the exact emotions of students. To overcome this, a system is proposed that gives summarised feedback and works on sentiment analysis. The summarised feedback contains deep key phrases. Key phrases can provide highly condensed and valuable information that helps in acquiring the main idea of the content. It attempts to capture the deep semantic meaning of text content. Here, the Recurrent Neural Network (RNN) algorithm is used for keyphrase extraction and sentiment analysis

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