Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Machine Learning
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
The Journal of Machine Learning Research
Simple Semantics in Topic Detection and Tracking
Information Retrieval
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Latent Dirichlet Allocation with topic-in-set knowledge
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
Short and tweet: experiments on recommending content from information streams
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Equations for part-of-speech tagging
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Towards better TV viewing rates: exploiting crowd's media life logs over Twitter for TV rating
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Lexical normalisation of short text messages: makn sens a #twitter
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Part-of-speech tagging for Twitter: annotation, features, and experiments
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Mobile phones as second screen for TV, enabling inter-audience interaction
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology
Who is on your sofa?: TV audience communities and second screening social networks
Proceedings of the 10th European conference on Interactive tv and video
Second screen applications and tablet users: constellation, awareness, experience, and interest
Proceedings of the 10th European conference on Interactive tv and video
Proceedings of the 10th European conference on Interactive tv and video
Sharing the viewing experience through second screens
Proceedings of the 10th European conference on Interactive tv and video
User effort vs. accuracy in rating-based elicitation
Proceedings of the sixth ACM conference on Recommender systems
Using link analysis to discover interesting messages spread across Twitter
TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
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Posting comments on social networks using second screen devices (e.g., tablets) while watching TV is becoming very common. The simplicity of microblogs makes Twitter among the preferred social services used by the TV audience to share messages about TV shows and movies. Thus, users' comments about TV shows are considered a valuable indicator of the TV audience preferences. However, eliciting preferences from a tweet requires to understand if the tweet refers to a specific TV program, a task particularly challenging due to the nature of tweets - e.g., the limited length and the massive use of slangs and abbreviations. In this paper, we present a solution to identify whether a tweet posted by a user refers to one among a set of known TV programs. In such process, referred to as item detection, we assume the system is given a set of items (e.g., the TV shows or movies) together with some features (e.g., the title of the TV show). We tested the solution on a dataset composed by approximately 32000 tweets, where the optimal configuration reached a precision of about 92% with a recall equals to about 65%.