Brand24
mention
BrandWatch
SproutSocial
Hootsuite
Meltwater
Google Alerts
Syften
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
It collects real-time data from millions of sources, including social media platforms (Facebook, Instagram, Twitter, Twitch, TikTok, Youtube, Telegram), podcasts, publicly available newsletters, online news sites, blogs, forums, reviews sites.
Some of the key features of Brand24 are:
With Brand24, you can increase brand awareness, improve customer support, measure your marketing efforts, conduct a competitor analysis, do social selling, prevent PR crises, and many more.
Brand24 Scikit-learnBrand24's answer
Brand24 goes beyond merely gathering mentions; it analyzes mentions and presents actionable insights.
Brand24's answer
Brand24 offers a strong combination of comprehensive monitoring, timely alerts, detailed analysis, and ease of use, making it a compelling choice for businesses looking to closely monitor and engage with their online presence.
Brand24's answer
Business of all sizes, Marketing Agencies, Public Relations (PR) Professionals, Social Media Managers, Customer Service Teams, Product Managers and Developers, Influencers and Content Creators.
Brand24's answer
Brand24's story begins in 2011 in Poland, founded by Michaล Sadowski and a team of co-founders. The idea was born out of the need for businesses to understand what was being said about them online. Before the widespread availability of sophisticated media monitoring tools, companies found it challenging to track mentions across the vast expanse of the internet, including social media, blogs, forums, and news sites. This gap in the market led to the creation of Brand24, a tool designed to make digital listening accessible to companies of all sizes.
Brand24's answer
4000+ brands of all sizes, including: Ikea, Intel, Vichy, Samsung, Carlsberg, Intel.
Based on our record, Scikit-learn seems to be a lot more popular than Brand24. While we know about 40 links to Scikit-learn, we've tracked only 1 mention of Brand24. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Brand24 is built for PR and marketing teams who need serious brand monitoring. It tracks mentions across news, blogs, forums, review sites, Twitter, Reddit, Instagram, YouTube, TikTok, and more. The AI features include sentiment analysis, influencer scoring, and automated PDF reports. - Source: dev.to / 5 months ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
mention - Media monitoring made easy with Mention. Create alerts on your name, brand, competitors and be informed in real-time of any mention on the web and social networks
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
BrandWatch - The best social monitoring tool
NumPy - NumPy is the fundamental package for scientific computing with Python
SproutSocial - Sprout Social is a social media management tool created to help businesses find new customers & grow their social media presence. Try it for free.
OpenCV - OpenCV is the world's biggest computer vision library