منابع مشابه
Bayesian Analysis of Dynamic Linear Topic Models
In dynamic topic modeling, the proportional contribution of a topic to a document depends on the temporal dynamics of that topic’s overall prevalence in the corpus. We extend the Dynamic Topic Model of Blei and Lafferty (2006) by explicitly modeling document-level topic proportions with covariates and dynamic structure that includes polynomial trends and periodicity. A Markov Chain Monte Carlo ...
متن کاملAnalysis of Retweeting Behavior Using Topic Models
Social networks are nowadays a constant presence in our lives and increasingly have a role in important social and commercial phenomena. Microblogging services such as Twitter appear to play an important role in the process of information dissemination on the Internet making it possible for messages to spread virally in a matter of minutes. In this research work we study the mechanism of re-bro...
متن کاملSoftware Analysis with Unsupervised Topic Models
We provide an overview of our work in applying unsupervised topic and authortopic models based on Latent Dirichlet Allocation (LDA) to the problem of mining large software repositories at multiple levels of granularity. Our approaches allow us to automatically discover the topics embedded in code and extract documenttopic and author-topic distributions. In addition to serving as a convenient su...
متن کاملIncorporating topic information into semantic analysis models
This paper reports experiments in classifying texts based upon their favorability towards the subject of the text using a feature set enriched with topic information on a small dataset of music reviews hand-annotated for topic. The results of these experiments suggest ways in which incorporating topic information into such models may yield improvement over models which do not use topic informat...
متن کاملTopic Models for Audio Mixture Analysis
In contrast to the time-domain waveform, time-frequency representations explicitly represent the time-varying frequency content of a sound and effectively visualize the signal’s activity at any timefrequency bin. These transforms are often complex-valued and include well known tools such as the short-time Fourier transform, constant-Q transforms, wavelets, etc. However, because our hearing syst...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Entropy
سال: 2020
ISSN: 1099-4300
DOI: 10.3390/e22050556