The abusive content classifier API detects abuse and helps users filter abusive content.
It uses Long Short Term Memory (LSTM) algorithms to classify a text into different. LSTMs model sentences as chain of forget-remember decisions based on context. It is trained on social media data and news data differently for handling casual and formal language. We also have trained this algorithm for various custom datasets for different clients.
There are abundant platforms for people to interact and voice their opinions on.With the number of these platforms increasing, the amount out textual data dumped on them is going up too. It is important to filter out abusive content for a pleasant user experience. Also, such platform generally appeal to all age groups. Detecting and filtering out abusive content makes sure it is safe to use for all age groups.
Highly accurate classification of unstructured textual data
State of the art technology to provide accurate results real-time
Can be trained on custom dataset to obtain similar accuracy and performance