Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: "When and Where?": Behavior Dominant Location Forecasting with
  Micro-blog Streams   The proliferation of smartphones and wearable devices has increased the
availability of large amounts of geospatial streams to provide significant
automated discovery of knowledge in pervasive environments, but most prominent
information related to altering interests have not yet adequately capitalized.
In this paper, we provide a novel algorithm to exploit the dynamic fluctuations
in user's point-of-interest while forecasting the future place of visit with
fine granularity. Our proposed algorithm is based on the dynamic formation of
collective personality communities using different languages, opinions,
geographical and temporal distributions for finding out optimized equivalent
content. We performed extensive empirical experiments involving, real-time
streams derived from 0.6 million stream tuples of micro-blog comprising 1945
social person fusion with graph algorithm and feed-forward neural network model
as a predictive classification model. Lastly, The framework achieves 62.10%
mean average precision on 1,20,000 embeddings on unlabeled users and
surprisingly 85.92% increment on the state-of-the-art approach.

16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg