Topic Mining for Time Stamped Text Document Using PLSA Method 1 *

@inproceedings{Shelke2015TopicMF,
  title={Topic Mining for Time Stamped Text Document Using PLSA Method 1 *},
  author={Deepali Panditrao Shelke and Prof. NitinM. Shahane},
  year={2015}
}
  • Deepali Panditrao Shelke, Prof. NitinM. Shahane
  • Published 2015
In the real-world applications, time stamped document or text sequences, are begin anywhere. Various text sequences are related to each other by sharing common topics. The correlation between these sequences provides more meaningful and complete clues for topic mining than those from each particular sequence. so it shows the interrelationship between the… CONTINUE READING