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Polarized User and Topic Tracking

This method provides an iterative classification of users and keywords in Digital traces of conversations in micro-blogging platforms and in OSNs. The method identifies polarize users for first, discovers then polarized keywords by monitoring the activities of previously classified users. This method allows to track users and topics over time. The algorithm is written in Python. Data are stored in MongoDB. Requirements: MongoDB and Pymongo.

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Additional Info
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Accessibility Both
AccessibilityMode Download
Availability On-Line
Basic rights Download
CreationDate 2016-03-14
Creator Muntean, Cristina, cristina.muntean@isti.cnr.it
Field/Scope of use Any use
Github https://github.com/hpclab/PTR---Polarized-User-and-Topic-Tracking
Group Societal Debates and Misinformation
Owner Muntean, Cristina, cristina.muntean@isti.cnr.it
RelatedPaper https://doi.org/10.1145/2911451.2914716
Sublicense rights No
Territory of use World Wide
Thematic Cluster Text and Social Media Mining [TSMM]
UsageMode Download
system:type Method
Management Info
Field Value
Author Muntean Cristina
Maintainer Muntean Cristina
Version 1
Last Updated 11 September 2023, 15:11 (CEST)
Created 29 June 2018, 11:34 (CEST)