A large amount of data is being generated and collected in different forms every second. Obtaining the right, relevant, and desired information from data is an interesting and difficult task to achieve within a time frame. Technologies and Algorithms have been developed to fetch the information that we are looking for of which some are as simple as the use of a dictionary and search engines. still, the results of these methods need to be narrowed down or summarised with a particular topic. In-text mining, one of the techniques used to extract the right information is **_Topic Modeling _**which is a process to automatically identify topics present in a given text and to derive latent patterns.
Access the tool viaTopic Modeling Open Source Tool link
At the end of this article, you will be able to understand what topic modeling is, existing methods and approaches, some evaluating methods in topic modeling, understand how the “topic modeling open-source tool” has been built, deployment to Heroku, utilization of the tool and probably contribute to the open-source project.
#data-science #topic-modeling #machine-learning #artificial-intelligence #nlp #deep learning
Over the last few years, Kubernetes have become the de-facto standard for container orchestration and has also won the race against Docker for being the most loved platforms among developers. Released in 2014, Kubernetes has come a long way with currently being used across the entire cloudscape platforms. In fact, recent reports state that out of 109 tools to manage containers, 89% of them are leveraging Kubernetes versions.
Although inspired by Borg, Kubernetes, is an open-source project by Google, and has been donated to a vendor-neutral firm — The Cloud Native Computing Foundation. This could be attributed to Google’s vision of creating a platform that can be used by every firm of the world, including the large tech companies and can host multiple cloud platforms and data centres. The entire reason for handing over the control to CNCF is to develop the platform in the best interest of its users without vendor lock-in.
#opinions #google open source #google open source tools #google opening kubernetes #kubernetes #kubernetes platform #kubernetes tools #open source kubernetes backfired
Open source today is a word that often include a lot of things, such as open knowledge (Wikimedia projects), open hardware (Arduino, Raspberry Pi), open formats (ODT/ODS/ODP) and so on.
It is a world of opportunities that can be difficult for newcomers but also for intermediates. This article will help you discover how to approach specific roles, activities or projects/communities in the best way.
I decided to write a book in my personal style about my experience in the last 7 to 8 years in open source. I was surprised when I reached 100 pages about various different topics.
My idea was to write something that I would like to read, so nothing that is boring or complicated, but full of real facts.
The second goal was to include my experience but also my philosophy on contributing and how I contribute daily.
Thirdly, I wanted to give a lot of hints and resources and an overall view of this open source world.
Basically, I wanted to write something different from self-help or coaching books that includes just a list of suggestions and best practices. Instead, I take real examples from real life about the OSS world.
As a contributor and developer, I prefer to have real cases to study, because best practices are useful, but we need to learn from others and this world is full of good and bad cases to discover.
In 2019, I started writing a book after Fosdem 2019 and after 2 years inside the Mozilla Reps Council. In that Fosdem edition, I had a talk “Coaching for Open Source Communities 2.0” and after the feedback at the conference and my thoughts in various roles, activities, and projects, it was time to write something.
At the end it wasn’t a manual but a book that included my experience, learnings, best practices and so on in Localization, Development, Project Maintainer, Sysadmin, Community Management, Mentor, Speaker and so on. It contains the following sections:
There are also three appendices that are manuals which I wrote throughout the years and gathered and improved for this book. They are about: community management, public speaking, and mentoring.
The book ends with my point of view about the future and what we have to do to change opinions about those topics.
I wrote this book and published in October 2019, but it was only possible with the help of reviews and localizers that improved and contributed. Yes, because this book is open source and free for everyone.
I picked the GPL license because this license changed the world and my life in the best way. Using this license is just a tribute. This decision usually is not clear because after all this is a book and there are better licenses like Creative Commons.
#open-source #contributing-to-open-source #programming #software-development #development #coding #books #open-source-software
Learning about Java is no easy feat. It’s a prevalent and in-demand programming language with applications in numerous sectors. We all know that if you want to learn a new skill, the best way to do so is through using it. That’s why we recommend working on projects.
So if you’re a Java student, then you’ve come to the right place as this article will help you learn about the most popular Java open source projects. This way, you’d have a firm grasp of industry trends and the programming language’s applications.
However, before we discuss its various projects, it’s crucial to examine the place where you can get those projects – GitHub. Let’s begin.
#full stack development #java open source projects #java projects #open source projects #top 8 java open source projects #java open source projects
Teaching machines to understand human context can be a daunting task. With the current evolving landscape, Natural Language Processing (NLP) has turned out to be an extraordinary breakthrough with its advancements in semantic and linguistic knowledge. NLP is vastly leveraged by businesses to build customised chatbots and voice assistants using its optical character and speed recognition techniques along with text simplification.
To address the current requirements of NLP, there are many open-source NLP tools, which are free and flexible enough for developers to customise it according to their needs. Not only these tools will help businesses analyse the required information from the unstructured text but also help in dealing with text analysis problems like classification, word ambiguity, sentiment analysis etc.
Here are eight NLP toolkits, in no particular order, that can help any enthusiast start their journey with Natural language Processing.
Also Read: Deep Learning-Based Text Analysis Tools NLP Enthusiasts Can Use To Parse Text
About: Natural Language Toolkit aka NLTK is an open-source platform primarily used for Python programming which analyses human language. The platform has been trained on more than 50 corpora and lexical resources, including multilingual WordNet. Along with that, NLTK also includes many text processing libraries which can be used for text classification tokenisation, parsing, and semantic reasoning, to name a few. The platform is vastly used by students, linguists, educators as well as researchers to analyse text and make meaning out of it.
#developers corner #learning nlp #natural language processing #natural language processing tools #nlp #nlp career #nlp tools #open source nlp tools #opensource nlp tools
Python is among the most popular programming languages on the planet, and there are many reasons behind this fame. One of those reasons is a large number of open-source projects and libraries available for this language. From machine learning to animation, there’s a Python project for nearly everything. If you want to become a proficient Python developer, you should be familiar with some of these projects (if not all).
That’s why in this article, we’ll discuss different Python projects with source code Github. Because Python has applications in various industries, you might find many projects to help you complete your tasks. You should choose projects according to your interests and your experience. You can bookmark this article for future reference. Let’s get started.
Here are a few of the Python Open Source Project Ideas –
#data science #open source project ideas #open source projects #project ideas #python #python open source