Dissertation > Excellent graduate degree dissertation topics show

A Research on Feature Selection and Opinion Classification of Chinese Web Product Comments

Author: PengLiuYan
Tutor: XiaHuoSong
School: Wuhan Textile University
Course: Management Science and Engineering
Keywords: Sentiment analysis Feature extraction Opinion classification Frequent pattern extraction Semantic PMI Opinion extraction Design Science
CLC: TP391.1
Type: Master's thesis
Year: 2011
Downloads: 70
Quote: 1
Read: Download Dissertation

Abstract


With the development of Internet technology, the dissemination and sharing of information become more and more convenient. Nowadays, People are able to present their evaluation of products either in commercial websites or they can express their opinions or views about almost anything in the forums, blogs, social networks and other media. While it makes information sharing more convenient and efficient, it also provides a large number of users’opinion information on the web which leads to more difficult for people to obtain useful information. Therefore, to use of existing information technologies to mining these comments and get access to valuable information is of great significance. This paper discusses these problems and mainly completes the following work: to research the existing product opinion mining theories and technologies of web comments thoroughly and delicately, from research categorization to technical support, from research framework to related algorithms, and does comparison and analysis; Based on present research, does two experiments separately, first use the traditional text classification method only to do experiment and then add an opinion vocabulary to traditional text classification method to do experiment, with machine learning method, paper assesses these two methods; From the semantic point of view, to combine the frequent pattern extraction and information retrieval PMI algorithms to extract product features and does empirical research, conclusions and suggestions are given; Build an analysis and design framework of the integrated product feature extraction and opinion classification system, give the mining results to the user in the form of visual display, to help users do decision-making. This paper follows strictly with the design science methods, the proposed method in this paper are verified by experiments, and the results are analyzed. Compared to other Chinese product reviews mining research, this paper has three innovations: (1) Present the approach of building opinion vocabulary to do classification, to optimize the results of application of traditional text classification methods in opinion text categorization. Given the hotel reviews as a sample, with the machine learning method, by constructing a small field of opinion lexicon, to optimize traditional text classification; (2) Starting from opinion mining level, to propose a feature-level product reviews classification, mining frequent features by association analysis method, with the method of semantic PMI to correct the mining results; (3) Combining feature extraction and opinion classification , to put forward the integrated system analysis and design framework, does opinion categorization according to extracted features, improving the classification accuracy, and to show the visualize pictures to users.

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  3. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  4. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  5. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  6. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  7. Research on Extraction and Tracking of People’s Opinion,TP391.1
  8. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  9. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  10. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  11. Multi-currency Notes Technology Research and Implementation,TP391.41
  12. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41
  13. Pavement Distress Recognition Based on Image,TP391.41
  14. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  15. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  16. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  17. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  18. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  19. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  20. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  21. The Compression and Fusion Technique Research of Underwater Target Feature,TN911.7

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
© 2012 www.DissertationTopic.Net  Mobile