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I would start by reviewing any available tools in NLP that can help you. I know two: Watson Personality Insights and Symanto thar provide API to develop this kind of solutions. The first one was one available in the past (Watson personality Insights) but unfortunately has been discontinued. The IBM Watson Personality Insights service enables applications to ...


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The link you have mentioned is using Dense layers. One thing to start with would be to use 1D CNNs (they will capture some local information). Also, since sequence matters in your case, refrain from one-hot encodings (just 1, 2, 3, 4). And for the 2D matrix, use a 2D CNN. Then, flatten your encoding for both 1D CNN and 2D CNN, then, finally combine them. ...


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Your problem does look like it could be a good match to reinforcement learning, or at least the related idea of contextual bandits. Whether or not it would be a good match to the full reinforcement learning algorithm depends on whether any of the data you are processing could be considered part of an environment state, and whether or not that state evolves ...


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Is there an AI technology out there or being developed that can predict human behaviour ? If it can predict (all) human behavior, it can act as an human, thus, it will be the first real (strong) AI. This has not happened yet. I must remark that the question contains a lot of weakly defined terms. Fix these terms can help to work in the question subject: &...


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No one mentioned Planning chemical syntheses with deep neural networks and symbolic AI (published in Nature - here's arxiv link). Very impressive application of deep reinforcement learning - they use Monte Carlo Tree Search with a policy network (a-la AlphaZero) to do chemical synthesis planning. Authors claim that double blind test shown that professional ...


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