Dissertation > Excellent graduate degree dissertation topics show

Research on Extraction and Tracking of People’s Opinion

Author: ChenXiaoLu
Tutor: LiSheng;ZhengDeQuan
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Event Extraction Opinion Extraction Topic Tracking Maximum Entropy Model
CLC: TP391.1
Type: Master's thesis
Year: 2008
Downloads: 48
Quote: 0
Read: Download Dissertation

Abstract


With the rapid explosion of information coming from internet, people are in the very need of tools for automatic acquisition of information, which can help them to find meaningful and useful information from the web. This paper does an intensive research on extraction and tracking against people’s opinion, with the aim of finding and extracting a cluster of opinions, which focus on the same topic as interested in by the user, of people or a group or an organization etc.This paper is focusing on two key issues of the research, one of which is named recognition and extraction of people’s opinion, and the other is named tracking on people’s opinion related to a specific topic.This paper regards the appearance of certain people’s opinion as a specific kind of event– opinion event. In the research we have established a well-scaled opinion event corpus for the purpose of training and evaluation. This paper describes event as several features, using MEN based binary classification to recognize the true opinion events from candidate events. Experiment results shows the best performance of F value as 87.8 when using the optimized trigger set and using a training corpus including 350 news stories, 716 positive and 160 negative.This paper is using a tracking technique based on query vector. Comparing the separate ways of calculating similarity between two vectors, we obtain the best performance of norm DET as 0.3908, while using query vector extension and adjusting the threshold.

Related Dissertations

  1. Research on Domain Entity Attribute and Event Extraction Technology,TP391.1
  2. The Frame Disambiguation of Automatic Identification of Chinese Frame,TP391.1
  3. Research for Event Extraction Method in Specific Domain Based on Tree Conditional Random Field,TP391.1
  4. Based on self-learning social relation extraction research,TP391.1
  5. Micro- blog real-time tracking and retrieval topics related research,TP393.092
  6. Design and Implementation of the Chinese Webpage Classifier Based on the Maximum Entropy Model,TP393.092
  7. Based on Maximum Entropy Model Research on extracting Chinese entity relation,TP391.1
  8. Research on Topic Tracking in News Video Broadcasts,TP391.41
  9. Research and Implementation of Hierarchical Phrase-Based Translation Model in Statistical Machine Translation,TP391.2
  10. A Research on Chinese Word Segmentation Based on Phonetic Annotation,TP391.1
  11. Research on Topic Tracking and Evolution Analysis Technique,TP393.08
  12. Technique Research of Web Chinese Event Automatic Detection,TP393.09
  13. The Study of Q & A System Based on Maximum Entropy Model Semantic Parsing,TP391.1
  14. Based on the topic of Internet data detection and tracking technology Research and Implementation,TP391.3
  15. The Research on Topic Search Technology Based on Topic Detection and Tracking,TP391.3
  16. Research and Implementation on Key Techniques of Online Public Opinion Analysis,TP393.09
  17. Research on Sentence Level Chinese Event Extraction,TP391.1
  18. Research on Product Named Entity Recognition and Normalization,TP391.1
  19. E-commerce for the product summary Mining Technology,TP391.1
  20. The Automatic Identification of the Semantic Core Words for Frame Elements,TP391.1

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