
BrandFort
Smart Moderation
Howler AI
CommentGuard
WebPurify
Brandwise
ReplyZen.ai
Path Finder
PostgreSQL
MySQL
Microsoft SQL
SQLite
Oracle DBaaS
MongoDB
Oracle Database 12c
SAP HANA
BrandFort (Brandfort.co) trained their Artificial Intelligence for understanding comments like a human does. BrandFort does not simply focus on certain keywords. No, BrandFort focuses on the meaning of a sentence and assess the sentiment of it. Based on this approach, BrandFort is able to detect sentences with a negative sentiment and complains in a efficient and effective manner.
The same technology is used by BrandFort for detecting spam, profanity and hate. But, the big selling point of the software is to detect complains and negative sentiment in a very precise way. This is important if you are selling a product (or yourself) on your Social Media presence.
Think about a comment like this one: "Oh my god, your product is so overpriced!"
Normal content moderation, which is focused on detecting spam and profanity, will not hide such a comment. However, let's be honest, as a proud business owner, you do not want such a comment on your Facebook or Instagram page.
BrandFort will detect such comments and hide it from your page. The smart thing, BrandFort will hide such a negative comment, but the commentator will not notice it.
The commentator will see their comment on your Instagram page. But no one else will. Take your time responding to it and win the hater over. You can react to the negative comment in peace, but at the same time, you know it's not negatively impacting your brand reputation.
BrandFort protects your brand 24/7, 365 days a year!
BrandFort
PostgreSQLBased on our record, PostgreSQL seems to be more popular. It has been mentiond 19 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.
In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 5 months ago
PostgreSQL 17 Performance Guide โ Official docs for the latest performance improvements. - Source: dev.to / 5 months ago
You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 11 months ago
In this quick post, weโll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
Iโm on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 2 years ago
Smart Moderation - Stop Inappropriate Comments using Artificial Intelligence
MySQL - The world's most popular open source database
Howler AI - Get more press with AI-powered media outreach ๐
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
CommentGuard - CommentGuard is an AI-powered moderation tool for Facebook & Instagram comments
SQLite - SQLite Home Page