Explain the Application of machine learning techniques to support content moderation of Tweeter message.

• Proliferation of microblogging and the importance of on-topic tweets for time-critical situational awareness to disaster-affected communities and professional responders

• Challenges

o finding informative and relevant information to accelerate disaster response

o Information overload: Labor-intensive content moderation process as a bottleneck to quickly identify task-related information from incoming messages from the crowd

 Auto filtering of relative and informative messages

 Automatic categorization of messages

• Research Gap

o Several machine learning techniques have been applied in this domain but all features considered in the classifiers are selected in a data-driven approach without a sound understanding of decision-makers’ information needs and requirements, may result in ineffective filtering and misclassification.

o By incorporating the key words generated by a top-down approach with structured domain-knowledge proposed, the accuracy of classification still has the potentials for improvement

Unlike most other websites we deliver what we promise;

  • Our Support Staff are online 24/7
  • Our Writers are available 24/7
  • Most Urgent order is delivered with 6 Hrs
  • 100% Original Assignment Plagiarism report can be sent to you upon request.

GET 15 % DISCOUNT TODAY use the discount code PAPER15 at the order form.

Type of paper Academic level Subject area
Number of pages Paper urgency Cost per page: