Thesis Title Multi-Aspect Sentiment Analysis for Tourism in Bandung with Rule-Based Classifier

Hello Student Friends, This Time Will Share The Latest Thesis Title ni. The title is Multi-Aspect Sentiment Analysis for Tourism in Bandung with Rule-Based Classifier.

Sentiment analysis is a branch of text mining research that aims to clarify the word with the labeling process and classify it into positive and negative.

LITERATURE REVIEW

• Multi-Aspects Sentiment Analysis

1. Multi-Aspects Sentence Labeling
2. Multi Aspects Rating Prediction

• Preprocessing Methods

The preprocessing method has an important role in the text mining technique because as the first step in the text mining process.

• Dataset Performance

Steps taken to determine the effectiveness of data or information retrieval is precision and recall.

• Rule-Based Classifier

Rule-Based Classifier is a method to classify text by using rules that can be formed in accordance with the conditions required in the study.

• TripAdvisor

SYSTEM PLANNING

• Research methods
• Data collection
• System Analysis
• System Design

AIM

1. Extraction of aspect and classification of sentiment analysis on opinion of tourist comment in Bandung city with approach Rule-Based Classifier.
2. Know the accuracy using the Rule-Based Classifier approach.Supporting theories

Supporting theories

• Information System
• Software Development Life Cycle (SDLC)
• Desain Database
• Unified Modelling Language (UML)
• Framework Aplikasi Web
• Codeigniter
• PHP (Perl Hypertext Preprocessor)
• MYSQL
• HTML (Hypertext Markup Language)
• Cascading Style Sheets (CSS)
• Black Box Testing