CONTENT MODERATION
User Content Analytics: Moderating Abuse with Text Analytics API
It is a natural language understanding (NLU) technology with a focus on detecting abusive content and meeting the needs of legal and regulatory technology.
This tool is designed to
identify and analyze various types of problematic content, such as cyberbullying, personal attacks, hate speech, sexual advances, hidden profanity, criminal activity, and more. What sets it apart is it´s ability to handle the language found on social media, which is often vulgar, lacks proper grammar, and contains specific jargon. The technology has been developed from the ground up to adapt to this type of content, allowing it to effectively understand and analyze the language used on social media platforms and other online environments.
Networks and platforms
Social media companies and online platforms that wish to moderate user-generated content to prevent abuse and maintain a safe and respectful environment for users.
Administrations and NGOs
Nonprofit organizations and governments seeking to monitor online content to detect and prevent the spread of hate speech, harassment, and other types of inappropriate content.
Developers and Businesses
Companies operating in highly regulated sectors, such as finance or healthcare, that need to comply with certain ethical and legal standards regarding data management and preventing the use of inappropriate content.
Are you interested in this technology?
Consult our pricing and service plans by filling out the following form, tell us the solution you need and we will advise you throughout the process.
Do you need help with integration?
Request the assistance of our integration partner and we will take care of everything.
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