1. Sentiment Analysis In Student Learning Experience By Obinna Obeleagu 151103003

2. Aim & Objectives Aim: The aim of the project is to perform sentiment analysis of the various factors that promote good learning experience. Objectives: 1. To present a different approach to analyze student evaluation in a learning environment. 2. To study existing solutions, their methodologies and techniques 3. To uncover the determinant of good learning metric.

3. Literature Review R. Menaha; R. Dhanaranjani; T. Rajalaskhim; R. Yogarbin proposed a system based on sentiment analysis that will mine feedbacks from students. The feedback collected, is preprocessed using text processing techniques thereby generating flat files. The flat file is then tokenized into sentences. Keywords are listed, stop words are removed, word topics are extracted, clustered and classified and the classified comments are then generated as a chart for easy visualization.

4. Introduction Sentiment Analysis attempts to automatically identify & recognize opinions & emotions in text, its major goal is to determine whether a test is objective or subjective or represent a positive or negative opinion. Student Learning Experience entails all the activities, interaction, course, program or other experience in which leaning takes place, be it Traditional academic, on traditional settings, traditional educational settings, on traditional interactions

5. Methodology

7. Flow chart Diagram

8. UML Diagram

9. Conclusion At the end of this project a more efficient way of objectively analyzing subject matter (Student Learning Experience).

10. Questions