Concept

Twitter

Publications associées (47)

Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations

Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi

This paper investigates robust privacy-sensitive audio features for speaker diarization in multiparty conversations: ie., a set of audio features having low linguistic information for speaker diarization in a single and multiple distant microphone scenario ...

Idiap2012

What have fruits to do with technology? The case of Orange, Blackberry and Apple.

Karl Aberer, Zoltán Miklós, Surender Reddy Yerva

Twitter is a micro-blogging service on the Web, where people can enter short messages, which then become visible to other users of the service. While the topics of these messages varies, there are a lot of messages where the users express their opinions ab ...

ACM2011

Evaluation of Participants in Group-discussions on Twitter

Utkarsh Upadhyay

We provide intuitive, objective and reliable metrics for evaluating the participants of a discussion based on a basic set of roles. This method can be applied to any temporally ordered discussion transcript. We show that it is possible to partially automat ...

Elsiver2011

Predicting behavior of Twitter Users

Adela Maznikar

Social networks today are great source of data which can be used and analyzed in different ways. In our project the main goal is to predict the behavior of the users, more accurately said: we try to predict what will a particular user tweet in the future, ...

2011

Labelling Game for Twitter Streams

Valérian Hanser

The main goal of this project is to build a mean and to populate a database with correct information regarding some decided pairings. This database will then be compared to the results of algorithms that process the same pairings, which provides a way to a ...

2010

It was easy, when apples and blackberries were only fruits

Karl Aberer, Zoltán Miklós, Surender Reddy Yerva

Ambiguities in company names are omnipresent. This is not accidental, companies deliberately chose ambiguous brand names, as part of their marketing and branding strategy. This procedure leads to new challenges, when it comes to finding information about t ...

WePS-3, colocated with CLEF2010

Automatic Temporal Alignment of AV Data

Philip Neil Garner, John David Scott Dines, Danil Korchagin

In this paper, we describe the automatic audio-based temporal alignment of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events like high school concerts. All recorded data is temporally aligned with a common m ...

Idiap2009

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