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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.

audesome

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

bert-xdd

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

bigdataanalysisexamples

Scalable Big Data Analysis Examples

blest-ml

BLEST-ML (BLock size ESTimation through Machine Learning) is a methodology for block size estimation that relies on supervised machine learning techniques.

comparedimensions

Compare size is a plugin to compare product sizes on e-commerce platforms

cryptocurrencies

Market and social data on a set of cryptocurrencies

g-roi

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

geocon

h-adapts

H-ADAPTS (Hashtag recommendAtion by Detecting and adAPting to Trend Shifts)

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.

iiwm

Intelligent In-memory Workflow Manager (IIWM) is a solution for optimizing the in-memory execution of data-intensive workflows on parallel machines. IIWM is based on two complementary strategies: 1) a machine learning strategy for predicting memory occupancy and execution time of workflow tasks; 2) a scheduling strategy that allocates tasks to a computing node taking into account the (predicted) memory occupancy and execution time of each task, and the memory available on that node.

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.

joboffersit-it

Job offers in the Italian IT sector

parsoda

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

parsoda-py

Translation of ParSoDA (Parallel Social Data Analytics) in PyCOMPSs

partweethydrator

pronounceablestringgenerator

This Java package allows you to generate pronounceable random strings.

sedom-dd

SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters) is a new method for discovering sub-events that take place at different locations after a disaster (e.g, collapsed buildings, broken gas pipes, flooding).

tm-fid

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

topic_hec

usa2020

wabc