Seyed Ali Bahrainian

Seyed Ali Bahrainian
École Polytechnique Fédérale de Lausanne | EPFL

PhD in Computer Science

About

21
Publications
8,209
Reads
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327
Citations
Citations since 2016
14 Research Items
306 Citations
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201620172018201920202021202201020304050

Publications

Publications (21)
Conference Paper
Automatic identification of personality in conversations has many applications in natural language processing, such as community role identification (e.g., group leader) in online social media conversations as well as meeting transcripts. Conversation utterances provide a lot of information about the parties involved in a conversation such as cues...
Chapter
Full-text available
Mental disorders are major concerns in societies all over the world, and in spite of the improved diagnosis rates of such disorders in recent years, many cases still go undetected. The popularity of online social media websites has resulted in new opportunities for innovative methods of detecting such mental disorders.
Article
News documents published online represent an important source of information that can be used for event detection and tracking as well as for analyzing the temporal publishing relationships among different news streams. In this paper, we describe our research on detecting, tracking, and predicting events from multiple news streams. We also analyze...
Chapter
Proactive search technologies aim at modeling the users’ information seeking behaviors for a just-in-time information retrieval (JITIR) and to address the information needs of users even before they ask. Modern virtual personal assistants, such as Microsoft Cortana and Google Now, are moving towards utilizing various signals from users’ search hist...
Conference Paper
Full-text available
Memory augmentation is the process of providing human memory with information that facilitates and complements the recall of an event in a person»s past. Recently, there has been a lot of attention on processing the content of meetings for later reuse, such as reviewing a meeting for supporting failing memories, keeping in mind key issues, verifica...
Conference Paper
Linking multiple news streams based on the reported events and analyzing the streams' temporal publishing patterns are two very important tasks for information analysis, discovering newsworthy stories, studying the event evolution, and detecting untrustworthy sources of information. In this paper, we propose techniques for cross-linking news stream...
Conference Paper
Full-text available
Mobile personal assistants aim at addressing users’ information needs by anticipating their actions at different points in time. One such application which has been the focus of researchers recently, is regarding the anticipation of users’ app usage patterns on their smartphones. The rapid proliferation of smartphone applications, have changed thes...
Conference Paper
In recent years with the emergence of wearable devices for lifelogging, every day huge archives of data consisting of images, audio, etc are generated from a person's life. As a result researchers in this field have focused on building applications that utilize lifelog archives for various human-aid applications. Several studies have shown the effe...
Conference Paper
Recently a new class of personal assistants that are capable of addressing users' information needs proactively is emerging. Users' information needs may include timely notifications about a certain context such as location, social interactions with other people, weather, other events, etc. Personal assistants can assist people by recommending the...
Conference Paper
Full-text available
Topic modeling is an important area which aims at indexing and exploring massive data streams. In this paper we introduce a discrete Dynamic Topic Modeling (dDTM) algorithm, which is able to model a dynamic topic that is not necessarily present over all time slices in a stream of documents. Our proposed model has applications in modeling dynamic to...
Conference Paper
This paper aims at developing a social interactions summarizer system that firstly summarizes a person's daily social interactions, with the purpose of enhancing his episodic memory and secondly provides various methods for searching in the collected data. The first goal originates from studies that have shown that replaying video or audio recordin...
Conference Paper
Full-text available
Recent technological improvements allow us to capture an increasing share of our everyday experiences, e.g. holi- days, shopping routines, or sports activities, and store them in a digital format. An interesting avenue to explore in this context is how reviewing such captured content can im- prove one’s memories of the original events. In this posi...
Article
Full-text available
This technical report presents the work of the University of Lugano at TREC 2015 Contextual Suggestion and Temporal Summarization tracks. The first track that we report on, is the Contextual Suggestion. The goal of the Contextual Suggestion track is to develop systems that could generate user-specific suggestions that a user might potentially like....
Article
Full-text available
With the rapid proliferation of online-blogging and micro-blogging websites, millions of text posts are generated and made available online every day. Utilizing this rich data channel could facilitate educated purchasing of items, discovering trends and public tendencies regarding various products available in the market, discovering political incl...
Conference Paper
Full-text available
Sentiment Analysis (SA) and summarization has recently become the focus of many researchers, because analysis of online text is beneficial and demanded in many different applications. One such application is product-based sentiment summarization of multi-documents with the purpose of informing users about pros and cons of various products. This pap...
Conference Paper
Sentiment Analysis (SA) or opinion mining has recently become the focus of many researchers, because analysis of online text is beneficial and demanded for market research, scientific surveys from psychological and sociological perspective, political polls, business intelligence, enhancement of online shopping infrastructures, etc. This paper intro...
Conference Paper
With the emergence of new technologies and modern methods of marketing and the increasing intensity of competition among firms and companies for attracting new customers and making them loyal, a novel automatic solution is needed more than ever. The combination of Electronic Customer Relationship Management (E-CRM) and Artificial Intelligence (AI)...

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