2017 - ACM Senior Member
His primary scientific interests are in Information retrieval, Social media, Search engine, Artificial intelligence and Semantic search. His Information retrieval research incorporates themes from Statistical classification, World Wide Web, Index and Measure. His research investigates the connection between World Wide Web and topics such as Census that intersect with issues in Internal migration, Social network, Entropy and Transactional leadership.
His Social media study combines topics from a wide range of disciplines, such as Classifier, Supervised learning and Lexicon. Web query classification is the focus of his Search engine research. His Artificial intelligence course of study focuses on Natural language processing and Feature.
His primary areas of investigation include Social media, World Wide Web, Information retrieval, Advertising and Social psychology. His research integrates issues of Test, Media studies, Public relations, Set and Internet privacy in his study of Social media. The World Wide Web study combines topics in areas such as Popularity and Data science, Computational sociology.
His study looks at the relationship between Data science and fields such as Social network, as well as how they intersect with chemical problems. Information retrieval is frequently linked to Web page in his study. His Advertising research includes elements of Higher education and Marketing.
Ingmar Weber mainly investigates Social media, Artificial intelligence, Advertising, Social psychology and Machine learning. Ingmar Weber integrates Social media with Feedback effect in his research. His work investigates the relationship between Artificial intelligence and topics such as Natural language processing that intersect with problems in Feature.
His Advertising study integrates concerns from other disciplines, such as Marketing and Health care. His work on Artificial neural network as part of general Machine learning research is frequently linked to Modal and Recipe, thereby connecting diverse disciplines of science. His work carried out in the field of Classifier brings together such families of science as Supervised learning and Lexicon.
Ingmar Weber mainly focuses on Social media, Artificial intelligence, Social psychology, Polarization and Advertising. His research in Social media intersects with topics in Classifier, Supervised learning and Lexicon. His Artificial intelligence study also includes
His Social psychology study combines topics in areas such as Cognitive science and Moral foundations theory. His study in Polarization is interdisciplinary in nature, drawing from both Presidential system and Media studies. His study focuses on the intersection of Advertising and fields such as Higher education with connections in the field of Mental health.
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Automated Hate Speech Detection and the Problem of Offensive Language
Thomas Davidson;Dana Warmsley;Michael W. Macy;Ingmar Weber.
national conference on artificial intelligence (2017)
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Amaia Salvador;Nicholas Hynes;Yusuf Aytar;Javier Marin.
computer vision and pattern recognition (2017)
Web search queries can predict stock market volumes.
Ilaria Bordino;Stefano Battiston;Guido Caldarelli;Guido Caldarelli;Matthieu Cristelli.
PLOS ONE (2012)
You Tweet What You Eat: Studying Food Consumption Through Twitter
Sofiane Abbar;Yelena Mejova;Ingmar Weber.
human factors in computing systems (2015)
Type less, find more: fast autocompletion search with a succinct index
Holger Bast;Ingmar Weber.
international acm sigir conference on research and development in information retrieval (2006)
Understanding Abuse: A Typology of Abusive Language Detection Subtasks.
Zeerak Waseem;Thomas Davidson;Dana Warmsley;Ingmar Weber.
meeting of the association for computational linguistics (2017)
Personalized, interactive tag recommendation for flickr
Nikhil Garg;Ingmar Weber.
conference on recommender systems (2008)
A large-scale sentiment analysis for Yahoo! answers
Onur Kucuktunc;B. Barla Cambazoglu;Ingmar Weber;Hakan Ferhatosmanoglu.
web search and data mining (2012)
Type Less, Find More: Fast Autocompletion Search with a Succinct Index
Holger Bast;Ingmar Weber;Efthimis N. Efthimiadis;Susan Dumais.
Untitled Event (2006)
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson;Debasmita Bhattacharya;Ingmar Weber.
Proceedings of the Third Workshop on Abusive Language Online (2019)
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