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.
No features have been listed yet.
Brand24'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 Michał 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 more popular. It has been mentiond 28 times since March 2021. 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.
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
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