Discover SCAlabUnical/AUDESOME Open Source project by @SCAlabUnical

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Rank 3,948,999 (Top 79 %)
Language
Java
Created almost 4 years ago
Updated about 3 years ago

SCAlabUnical

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AUDESOME (AUtomatic Detection of User TrajEctories from SOcial MEdia posts) is an automatic method aimed at discovering user mobility patterns from posts they have shared on social media

HASHET

HASHET (HAshtag recommendation using Sentence-to-Hashtag Embedding Translation) is a model aimed at suggesting a relevant set of hashtags for a given post.

Python

ParSoDA

ParSoDA (Parallel Social Data Analytics) is a Java library for social media analytics

Java

G-RoI

G-RoI: Automatic Region-of-Interest detection driven by geotagged social media data

Java

IOM-NN

IOM-NN (Iterative Opinion Mining using Neural Networks) is a software for discovering the polarization of social media users during election campaigns characterized by the competition of political factions. The methodology uses an automatic incremental procedure based on feed-forward neural networks for analyzing the posts published by social media users. Starting from a limited set of classification rules, created from a small subset of hashtags that are notoriously in favor of specific factions, the methodology iteratively generates new classification rules. Such rules are then used to determine the polarization of people towards a faction.

Python

BERT-XDD

BERT-XDD is a deep learning methodology for effective and interpretable depression detection from social media posts.

Jupyter Notebook

ParSoDA-Py

Translation of ParSoDA (Parallel Social Data Analytics) in PyCOMPSs

Python

ADAGE

ADAGE (A Data-Aware scheduler based on critical path, work assiGnmEnt, and replication) is a data-aware scheduler designed to efficiently execute data-intensive workflows in a large-scale computer network.

Java

TM-FID

TM-FID (Topic-oriented Multimodal False Information Detection)

Jupyter Notebook

SCAlabUnical/AUDESOME

SCAlabUnical

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