Moderator tool for moderating acceptable and unacceptable contents and training of moderator model

A moderation system for moderating data contents by a computer-executable method, comprising:

• a) a moderator tool executing algorithms for:
• executing a first algorithm that identifies features that exist in training data provided in the form of a set of data contents labelled as acceptable and unacceptable contents and for extracting them, ending up with a feature space,
• executing a second algorithm in the feature space for:
• choosing the features to be used in a moderation model to be created and defining weighting of data features, the choosing and defining based on the data contents labelled as acceptable or unacceptable contents, and
• creating the moderation model by training parameters of a machine learning model based on the weighted data features,
• moderation of data contents received from one or more client devices by said moderation model, and
• producing a moderating result for the data contents by indicating whether the new data content is acceptable or unacceptable,
• b) one or more client devices for sending training data and data contents to the moderator tool to be moderated, and
• c) an interface for interaction between the one or more client devices and the moderator tool,
• wherein the moderator tool performs language detection.

A non-transitory computer-readable medium storing executable instructions for moderating data contents, the executable instructions implementing one or more algorithms of a moderator tool for:

• analyzing training data comprising a set of data contents labeled to be acceptable or unacceptable contents,
• executing a first algorithm that identifies features that exist in the training data and extracting them for ending up with a feature space,
• executing a second algorithm in the feature space for:
• choosing the features to be used in a moderation model to be created and defining weighting of data features, the choosing and defining based on the data contents labeled as acceptable or unacceptable contents and differentiate the acceptable contents and the unacceptable contents by defining a boundary in the feature space that separates the labeled acceptable contents and unacceptable contents, and
• creating the moderation model by training parameters of a machine learning model based on the weighted data features,
• using the moderation model for moderation of data contents by identifying data features in the data content, and
• producing a moderating result of the data content,
• wherein the moderator tool performs language detection.