Many chat channels (e.g. Omegle, mIRC) produce the the following conversations when engaging a person one doesn't know.
M
asl?
F 25
wonna sexchat?
This behavior is extremely prevalent. Detection of nudity in videos or images is an open research problem. What I am listing here should be simpler to accomplish. Any off-the-shelf solutions? Any language and any open and free library is fine(including papers on how to do it)!
There is a library on Python that name is profanity. Link: profanity-check
With machine learning algorithm I'm super sure that we can handle it easily. For that you should collect whole words as that. After collecting, you can add a label line, like 0 if acceptable, 1 if not. Then, with some successful machine learning algorithms, you can associate the data with the euclidian, manhattan type distance criteria and create a decision mechanism about whether the content is bad or not. It is difficult to predict how much the success rate will be, but I think that with such an approach, a success rate close to 90% can be achieved. I would like to share with you an academician whose work I trust on this subject. Yılmaz Kaya