[PDF][PDF] 基于机器学**的文本分类技术研究进展
苏金树， 张博锋， 徐昕 [1 - 软件学报, 2006 - Citeseer
文本自动分类是信息检索与数据挖掘领域的研究热点与核心技术, **年来得到了广泛的关注和
快速的发展. 提出了基于机器学**的文本分类技术所面临的互联网内容信息处理等复杂应用的 …
快速的发展. 提出了基于机器学**的文本分类技术所面临的互联网内容信息处理等复杂应用的 …
An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web
Although a great deal of attention has been paid to how conspiracy theories circulate on
social media, and the deleterious effect that they, and their factual counterpart conspiracies …
social media, and the deleterious effect that they, and their factual counterpart conspiracies …
[CARTE][B] The text mining handbook: advanced approaches in analyzing unstructured data
Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …
crisis of information overload by combining techniques from data mining, machine learning …
On a generalization of the Jensen–Shannon divergence and the Jensen–Shannon centroid
F Nielsen - Entropy, 2020 - mdpi.com
The Jensen–Shannon divergence is a renown bounded symmetrization of the Kullback–
Leibler divergence which does not require probability densities to have matching supports …
Leibler divergence which does not require probability densities to have matching supports …
Contextifier: automatic generation of annotated stock visualizations
Online news tools-for aggregation, summarization and automatic generation-are an area of
fruitful development as reading news online becomes increasingly commonplace. While …
fruitful development as reading news online becomes increasingly commonplace. While …
Understanding user intent modeling for conversational recommender systems: a systematic literature review
User intent modeling in natural language processing deciphers user requests to allow for
personalized responses. The substantial volume of research (exceeding 13,000 …
personalized responses. The substantial volume of research (exceeding 13,000 …
[HTML][HTML] “Mommy blogs” and the vaccination exemption narrative: results from a machine-learning approach for story aggregation on parenting social media sites
Background: Social media offer an unprecedented opportunity to explore how people talk
about health care at a very large scale. Numerous studies have shown the importance of …
about health care at a very large scale. Numerous studies have shown the importance of …
Supervised distance metric learning through maximization of the Jeffrey divergence
Over the past decades, distance metric learning has attracted a lot of interest in machine
learning and related fields. In this work, we propose an optimization framework for distance …
learning and related fields. In this work, we propose an optimization framework for distance …
Stealthy domain generation algorithms
Botnets are groups of compromised computers that botmasters (botherders) use to launch
attacks over the Internet. To avoid detection, botnets use DNS fast flux to change the …
attacks over the Internet. To avoid detection, botnets use DNS fast flux to change the …
[CARTE][B] Fundamentals of predictive analytics with JMP
R Klimberg - 2023 - books.google.com
Written for students in undergraduate and graduate statistics courses, as well as for the
practitioner who wants to make better decisions from data and models, this updated and …
practitioner who wants to make better decisions from data and models, this updated and …