Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Timeline Generation: Tracking individuals on Twitter   In this paper, we propose a unsupervised framework to reconstruct a person's
life history by creating a chronological list for {\it personal important
events} (PIE) of individuals based on the tweets they published. By analyzing
individual tweet collections, we find that what are suitable for inclusion in
the personal timeline should be tweets talking about personal (as opposed to
public) and time-specific (as opposed to time-general) topics. To further
extract these types of topics, we introduce a non-parametric multi-level
Dirichlet Process model to recognize four types of tweets: personal
time-specific (PersonTS), personal time-general (PersonTG), public
time-specific (PublicTS) and public time-general (PublicTG) topics, which, in
turn, are used for further personal event extraction and timeline generation.
To the best of our knowledge, this is the first work focused on the generation
of timeline for individuals from twitter data. For evaluation, we have built a
new golden standard Timelines based on Twitter and Wikipedia that contain PIE
related events from 20 {\it ordinary twitter users} and 20 {\it celebrities}.
Experiments on real Twitter data quantitatively demonstrate the effectiveness
of our approach.

24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph