Analysis Of Telecommunication Information Behavior And Characteristics Of Migrant Workers In High-density Population

Intelligent terminal devices such as mobile phones generate a lot of telecommunication information during communication,including positioning information and time information of the base station.In this paper,the positioning data generated by the interaction between the mobile phone and the base station is extracted.After the data is pre-processed,the positioning data information and the abnormal value of the deviation are replaced,and the trajectory points of the time series form a complete movement trajectory,and then the movement trajectory of the crowd is studied.In the movement track information of the crowd,set the corresponding speed and distance thresholds to determine which tracks belong to the stay area or the active area of ??the crowd.There is tremendous potential in the management of population distribution and mobility patterns for mobile telecommunications data.At the same time,in the telecommunication information,in addition to the positioning data of the base station,a large amount of short message information text is included.Using text mining technology,the text data is pre-processed,the variables that have little influence on the text are removed,the feature words are selected,and the text is classified and clustered.In the research of this paper,the Bayesian text classification is superior to other classifications.The Maslow hierarchical model based on Bayesian text classification is proposed to analyze the information needs of different levels of research workers in Maslow.