vaderSentiment
Docker Compose
vaderSentiment | Docker Compose | |
---|---|---|
20 | 388 | |
4,179 | 32,367 | |
- | 0.7% | |
0.0 | 9.6 | |
over 1 year ago | 7 days ago | |
Python | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
vaderSentiment
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Walmart, Delta, and Starbucks are using AI to monitor employee messages
There's overlap, but many traditional NLP techniques are heuristics based. Here's an example: https://github.com/cjhutto/vaderSentiment
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Turbocharge your application development using WebAssembly with SingleStoreDB
Our code uses VADER (Valence Aware Dictionary and sEntiment Reasoner). VADER is a lexicon and rule-based sentiment analysis tool that can interpret and classify emotions.
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Finding the saltiest NFL fanbase by analyzing 5 years of Reddit posts
My analyses focused on whether word usage within these threads, from 2017-2021, was positive or negative. The average level of positivity vs. negativity — often referred to as the “valence” — was scored using VADER, a language processing tool designed for online settings. Valence was averaged separately for wins and losses, then averaged again to generate a team’s overall valence score; this procedure controls for a team’s loss rate, and thus low scores do not simply reflect that a team frequently loses.
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I want to do a sentiment analysis that classifies tweets into 'positive' and 'negative' , any good resources for doing this?
I did this all as a node project but it looks like there's a python package available here - https://github.com/cjhutto/vaderSentiment
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[OC] Twitter Sentiment On Will Smith Before and After Slap
Sources: Info on VADER, VADER Dictionary (word, score, other data), VADER's special rules, original paper by the authors.
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I made a site that tracks stock mentions and sentiment from over 180 subreddits.
C++, PHP, Javascript and vader
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I made a site that tracks stock and crypto mentions and sentiment from over 180 subreddits.
vader - a sentiment analysis tool developed by researchers at Georgia Tech
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Growing up Muslim I used to get my ass kicked for being “girly”. Dad, if only you could see me now.
It's a fairly standard piece of machine learning called sentiment analysis. Human volunteers rate a corpus of texts as either positive or negative sentiment. A machine learning algorithm is then trained to predict those sentiment scores from the text itself. Sentiment analysis is widely used in comment and review moderation. If you use Python you can play around with open-source examples such as VADER yourself. While they can't always pick up on sarcasm or irony in general they do pretty well on picking up general trends.
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Thoughts/Critiques of an NLP Sentiment Analysis Project
You could try applying VADER (designed to handle social media data esp. Twitter) to tweets containing the word "apple" vs. "banana", and compare the sentiment scores.
- Amazing positivity in this community keep it up!:)
Docker Compose
- Docker Compose: `version` is obsolete
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12 Factor: 13 years later
Solutions are many, and could include Docker Compose, VS Code dev containers, Telepresence, Localstack or setting up temporary AWS accounts as a development environment for serverless applications.
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Let's write a simple microservice in Clojure
Using Docker Compose to run Postgres and any third-party services locally provides a streamlined and consistent development environment. Developers can define services in a docker-compose.yml file, which enables them to configure and launch an entire stack with a single command. In this case, Postgres is encapsulated within a container with predefined configurations. Docker Compose also facilitates easy scaling, updates, and isolation of services, enhancing development efficiency and reducing the setup time for new team members or transitioning between projects. It encapsulates complex configurations, such as Postgres' performance monitoring and logging settings, in a manageable, version-controlled file, simplifying and replicating the service setup across different environments.
- Live reload em Go com docker e compile daemon
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Docker compose, orchestrating and automating services
“Compose simplifies the control of your entire application stack, making it easy to manage services, networks, and volumes in a single, comprehensible YAML configuration file. Then, with a single command, you create and start all the services from your configuration file.” - Docker documentation
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Hosting a simple docker-compose app with Nginx and generate a SSL with certbot on digitalocean droplet
curl -fsSL https://get.docker.com -o get-docker.sh sudo sh get-docker.sh # Install docker compose sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose # Apply executable permissions to the binary sudo chmod +x /usr/local/bin/docker-compose # Run Project docker-compose up -d
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One Minute: Compose
Docker,
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How to Set Up a Docker Container
This foundation now opens the door to even more powerful concepts. You can explore more advanced concepts such as container networking, streamlining the management of complex applications with Docker Compose, and how to make your application data persistent using volumes.
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Use same Dockerfile for Dev & Production
In many projects that are containerized, especially in cases where development is also done locally with docker-compose, teams often have two Dockerfiles, 1 for Development, the other for Production. If you happen to have multiple environments like pre-prod, staging and so on, some teams could have different Dockerfiles for these environments.
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How to Dockerise a NodeJS - TypeScript API || A Comprehensive Guide from Environment Setup to Deployment with a CI/CD Pipeline
sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
What are some alternatives?
tweets-docker-pipeline - Docker pipeline for streaming tweets and their sentiment score to a Slack channel
supervisor - Supervisor process control system for Unix (supervisord)
twurl - OAuth-enabled curl for the Twitter API
LibreNMS-docker - LibreNMS Docker image
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
PRAW - PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
Portainer - Making Docker and Kubernetes management easy.
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
Cloud-Init - unofficial mirror of Ubuntu's cloud-init
pushwasm - Utility to push a Wasm UDF into SingleStoreDB
k3s - Lightweight Kubernetes