NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatically prioritize received messages f1ording to the priorities of each user. However, research on statistical learning methods for fully personalized email prioritization has been sparse due to privacy issues, since people are reluctant to share personal messages and priority judgments with the research community. It is therefore important to develop and evaluate personalized email prioritization methods under the assumption that only limited training examples can be available, and that the system can only have the personal email data of each user during the training and testing of the model for that user.
We focus on three aspects: 1) we investigate how to express the ordinal relations among the priority levels through classiﬁcation and regression. 2) we analyze personal social networks to capture user groups and to obtain rich features that represent the social roles from the viewpoint of a particular user. 3) We also developed a semi-supervised (transductive) learning algorithm that propagates importance labels from training examples to test examples through messages and user nodes in a personal email network. These methods together enable us to obtain both a better modeling priority and an enriched vector representation of each new email message.
Our contribution is as follows. First, we have successfully collected multiple users’ private email data with their ﬁne grained personal priority labels. Second, we apply and propose learning approaches from multi-type information such as text, and sender / recipients information. Third, to supplement additional information to sparse training data, we identify the importance of a contact and similar contacts from social networks. Fourth, we exploit a semi-supervised learning on the personal email networks. Finally, we conducted and completed systematic evaluations with respect to email prioritization, targeting the discovery of better modeling of email priorities. Through our suggested approaches, email prioritization alleviates email glut and should help our daily productivity.
Cobbler is a Linux installation server that allows for rapid setup of network installation environments. It glues together and automates many associated Linux tasks so you do not have to hop between lots of various commands and applications when rolling out new systems, and, in some cases, changing existing ones. It can help with installation, DNS, DHCP, package updates, power management, configuration management orchestration, and much more.
Collins consists of the core application, a set of client libraries, the collins-shell, and an automation toolchain. Nothing but collins core is required.
Documented, consistent REST API
Client API libraries in Ruby, Python and Bash
A collins command line shell for scripting and automation
A callback system for hooking into asset lifecycle events
Multiple authentication backends (LDAP, files, etc)
Per-feature and per-endpoint configurable permissions
Flexible Web and API based provisioning (PXE, SSH/grub/kickstart, API (e.g. AWS))
Power management support
IP Address allocation and management support
Support for running collins in distributed mode across multiple datacenters
Flexible data-model supporting multi-dimensional keys/values per asset
Simple key/value queries as well as a more advanced query language
A script engine for modifying collins behavior
Internationalized language support
Vagrant uses Oracle’s VirtualBox to build configurable, lightweight, and portable virtual machines dynamically. The first couple of pages serve to introduce you to Vagrant and what it has to offer while the rest of the guide is a technical walkthrough for building a fully functional web development environment. The getting started guide concludes by explaining how to package the newly created vagrant environment so other developers can get up and running in just a couple commands.
Jenkins is an award-winning application that monitors executions of repeated jobs, such as building a software project or jobs run by cron. Among those things, current Jenkins focuses on the following two jobs:
Building/testing software projects continuously, just like CruiseControl or DamageControl. In a nutshell, Jenkins provides an easy-to-use so-called continuous integration system, making it easier for developers to integrate changes to the project, and making it easier for users to obtain a fresh build. The automated, continuous build increases the productivity.
Monitoring executions of externally-run jobs, such as cron jobs and procmail jobs, even those that are run on a remote machine. For example, with cron, all you receive is regular e-mails that capture the output, and it is up to you to look at them diligently and notice when it broke. Jenkins keeps those outputs and makes it easy for you to notice when something is wrong.
The Marionette Collective AKA MCollective is a framework to build server orchestration or parallel job execution systems.
We’ve attempted to think out of the box a bit designing this system by not relying on central inventories and tools like SSH, we’re not simply a fancy SSH “for loop.” MCollective use modern tools like Publish Subscribe Middleware and modern philosophies like real time discovery of network resources using meta data and not hostnames. Delivering a very scalable and very fast parallel execution environment.
In this webinar, we discuss how Gluster can help you deploy highly available, scalable storage in minutes and manage data growth in a single global namespace in the cloud. Take advantage of Gluster’s software-only network-attached storage (NAS) solution to dynamically deploy and manage cloud storage in the RightScale Cloud Management Platform.