Results 31 to 40 of about 561,016 (281)
Modelling of trends in Twitter using retweet graph dynamics [PDF]
, 2014 In this paper we model user behaviour in Twitter to capture the emergence of trending topics. For this purpose, we first extensively analyse tweet datasets of several different events.
Berg, Hans van den +5 more
core +9 more sources
INTERACTIVE TOOL FOR VISUALIZATION OF TOPIC MODELS [PDF]
Acta Electrotechnica et Informatica, 2019 Digital data are all around us and occurs in various forms as videos, pictures or texts. Digital documents represent the vast majority of such data. It can be e-news, social media contributions and so on.
Miroslav SMATANA +3 more
doaj +1 more source
International Journal of Population Data Science, 2018 Cancer care is complex and exists within the broader healthcare system. The CanIMPACT team sought to enhance primary cancer care capacity and improve integration between primary and cancer specialist care, focusing on breast cancer.
Patti Ann Groome +7 more
doaj +1 more source
Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network [PDF]
, 2016 Bibliographic analysis considers the author's research areas, the citation network and the paper content among other things. In this paper, we combine these three in a topic model that produces a bibliographic model of authors, topics and documents ...
Buntine, Wray, Lim, Kar Wai
core +1 more source
Topic Concentration in Query Focused Summarization Datasets
AAAI Conference on Artificial Intelligence, 2016 Query-Focused Summarization (QFS) summarizes a document cluster in response to a specific input query. QFS algorithms must combine query relevance assessment, central content identification, and redundancy avoidance.
Tal Baumel +2 more
semanticscholar +1 more source
Video Captioning with Guidance of Multimodal Latent Topics
, 2023 The topic diversity of open-domain videos leads to various vocabularies and linguistic expressions in describing video contents, and therefore, makes the video captioning task even more challenging. In this paper, we propose an unified caption framework,
Chen, Jia +3 more
core +1 more source
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Unlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other.
Junpeng Liu +6 more
semanticscholar +1 more source
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]
, 2015 Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant +4 more
core +3 more sources
What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Hate speech has unfortunately become a significant phenomenon on social media platforms, and it can cover various topics (misogyny, sexism, racism, xenophobia, etc.) and targets (e.g., black people, women).
Tom Bourgeade +3 more
semanticscholar +1 more source
NEWTS: A Corpus for News Topic-Focused Summarization [PDF]
Findings, 2022 Text summarization models are approaching human levels of fidelity. Existing benchmarking corpora provide concordant pairs of full and abridged versions of Web, news or professional content.
Seyed Ali Bahrainian +2 more
semanticscholar +1 more source