The video tutorial discusses using computer vision techniques to study online images, including case studies, research methods, challenges faced, and lessons learned.

The video tutorial introduces the concept of the "metapicture" for the visual media analysis of online discourses and explains various analysis techniques: Visual Similarity,...

The video tutorial presents techniques for analysing meme collections with the computer vision network approach, including seven steps for network building and interpretation,...

The video tutorial discusses making meme collections, including the meme as a technical collection of objects, automated visual analysis, and meme collection distinctiveness.

Efficient interpolation-based ranking on CPUs

CLiQS is a Python language software package for social media texts summarization with a diversified approach.

The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...

CAsT 2019 data is split into two files one for training and the other one for testing. - Training set: CAsT 2019 conversations from training set and from test set without...

This method reconstructs socio-economic and financial networks from partial information, i.e., the knowledge of intrinsic node-specific properties and of the number of...

This set of dataframes were used in our last paper : Ollivier K, Boldrini C, Passarella A, Conti M (2022) Structural invariants and semantic fingerprints in the “ego network”...

A collection of scripts for the estimation and analysis of a "retweet cascade", i.e., the tree structure describing how the original tweet was spread by retweeters.

Instagram is currently the social media platform most associated with online images (and their analysis), but images from other platforms also can be collected and grouped,...

The dataset created for evaluation of summaries generated from social media posted during five natural disasters. The dataset contains: ground truth reports created by human...

The CoPhIR (Content-based Photo Image Retrieval) Test-Collection has been developed to make significant tests on the scalability of the SAPIR project infrastructure (SAPIR:...

This dataset consists of 503 pairs of Wikipedia entities drawn from the New York Times dataset with a human assigned relatedness score. The domain experts based their...

We create a publicly available dataset of over 3,100 COVID-19 vaccine-related tweets labeled as one of four stance categories: pro-vaxx, anti-vaxx, vaxx-hesitant, or...

Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...

This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online...