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
Field Value
Accessibility Both
AccessibilityMode Download
Attribution requirements
Availability On-Line
Basic rights Download
CreationDate 2016-03-14
Creator Cristina Muntean, cristina.muntean@isti.cnr.it
Dependencies on Other SW
Distribution requirements
External Identifier
Field/Scope of use Any use
Github https://github.com/hpclab/PTR---Polarized-User-and-Topic-Tracking
Hosting Environment
License term
Owner Cristina Muntean, cristina.muntean@isti.cnr.it
RelatedPaper https://doi.org/10.1145/2911451.2914716
Requirement of non-disclosure (confidentiality mark)
Restrictions on use
Semantic Coverage
Sublicense rights No
Territory of use World Wide
ThematicCluster Text and Social Media Mining
UsageMode Download
system:type SoBigData.eu: Method
Management Info
Field Value
Author Muntean Cristina
Maintainer Muntean Cristina
Version 1
Last Updated 29 June 2018, 11:34 (CEST)
Created 29 June 2018, 11:34 (CEST)