Results 121 to 130 of about 1,551,832 (303)

TwiInsight: Discovering Topics and Sentiments from Social Media Datasets

open access: yes, 2017
Social media platforms contain a great wealth of information which provides opportunities for us to explore hidden patterns or unknown correlations, and understand people's satisfaction with what they are discussing. As one showcase, in this paper, we present a system, TwiInsight which explores the insight of Twitter data.
Wang, Zhengkui   +4 more
openaire   +2 more sources

Tonic signaling of the B‐cell antigen‐specific receptor is a common functional hallmark in chronic lymphocytic leukemia cell phosphoproteomes at early disease stages

open access: yesMolecular Oncology, EarlyView.
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez   +17 more
wiley   +1 more source

COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

open access: yes, 2020
This paper describes a large global dataset on people's discourse and responses to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we collected and processed over 252 million Twitter posts from more than 29 million unique users using four keywords: "corona", "wuhan", "nCov" and "covid".
Gupta, Raj Kumar   +2 more
openaire   +2 more sources

Topic Modeling: A Consistent Framework for Comparative Studies

open access: yesEmerging Science Journal
In recent years, the field of Topic Modeling (TM) has grown in importance due to the increasing availability of digital text data. TM is an unsupervised learning technique that helps uncover latent semantic structures in large sets of documents, making ...
Ana Amaro, Fernando Bacao
doaj   +1 more source

CD44v, S1PR1, HER3, MET and cancer‐associated amino acid transporters are promising targets for the pancreatic cancers characterized using mAb

open access: yesFEBS Open Bio, EarlyView.
Novel mAbs could detect cancer‐associated membrane proteins on various type of pancreatic ductal adenocarcinomas (PDAC) by flow cytometry with viable PDAC cells and by immunohistochemistry with PDAC tissues. Results of protein expression were substantiated by mRNA expression by The Cancer Genome Atlas.
Takashi Nakano   +16 more
wiley   +1 more source

The Author-Topic Model for Authors and Documents [PDF]

open access: yesarXiv, 2012
We introduce the author-topic model, a generative model for documents that extends Latent Dirichlet Allocation (LDA; Blei, Ng, & Jordan, 2003) to include authorship information. Each author is associated with a multinomial distribution over topics and each topic is associated with a multinomial distribution over words.
arxiv  

Tryptophan‐sensing receptor GPR142 expression levels are directly regulated by proinflammatory cytokines in ghrelin‐producing cells

open access: yesFEBS Open Bio, EarlyView.
GPR142, a tryptophan‐sensing receptor, stimulates gastrointestinal hormones like ghrelin and is linked to inflammation regulation. Proinflammatory cytokines suppress ghrelin production, while tryptophan levels decrease via IDO1 activation. Our findings reveal that proinflammatory cytokines directly regulate GPR142 expression in ghrelin‐producing cells,
Yoko Ueda   +15 more
wiley   +1 more source

SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects

open access: green, 2023
David Ifeoluwa Adelani   +7 more
openalex   +2 more sources

Towards automatic topical classification of LOD datasets

open access: yes, 2015
The datasets that are part of the Linking Open Data cloud diagramm (LOD cloud) are classified into the following topical categories: media, government, publications, life sciences, geographic, social networking, user-generated content, and cross-domain. The topical categories were manually assigned to the datasets.
Meusel, Robert   +3 more
openaire   +2 more sources

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