hate speech detection Tools

Explore the best AI tools for hate speech detection.

HateHoundAPI

hate speech detection

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HateHoundAPI is an AI-powered toxic content detector, designed to identify and filter out toxic comments in web applications swiftly, replacing traditionally slow and costly moderation processes. This tool utilizes state-of-the-art AI technology to provide lightning quick detection, delivering efficient, reliable toxic content identification in real-time. As an open-source solution, developers and organizations can utilize HateHoundAPI for their specific needs, enhancing content control measures across platforms. It's designed to be user-friendly, with options for developers to connect their GitHub accounts and begin using the tool's API. Utilization of the API involves sending a post request with a comment and access token to receive a prediction on the comment's toxicity level. This tool is an effective solution for enhancing the content moderation process across a variety of web applications, promoting more regulated, toxic-free conversations online.

Free

Fuk.ai

hate speech detection

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Fuk.ai is an AI-powered tool designed to detect hate speech and profanity in content. It utilizes several Transformer-based neural network architectures, employing advanced natural language processing techniques. The primary intention of this tool is to maintain online content decorum by keeping hate speech, bigotry, and profanity at bay. Fuk.ai is particularly useful for user-generated content and can be integrated into apps or websites. It can be employed in a wide range of areas such as text analysis, live chats, comments moderation, and research. The tool also offers an API service allowing users to directly call in its hate speech and profanity detection functionality inside their applications. This API returns probabilities and indices of detected hate speech within the given text. Fuk.ai can be a valuable asset for content developers and moderators striving for safer, more inclusive online spaces.

Free
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