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Hi,
I developed a conversational agent to control my home automation. I submit sentences to it and I use A.I. to find the one that is most similar in a set of sentences from the knowledge base. From there I move on to home automation orders. My problem is that if the sentence contains several words contained in the knowledge base, it does not select the sentence which is closest but the first which contains the first recognized word.
After the training sentence, I tested several classifiers NaiveBayes, GaussianNB but the result is not correct.
I developed with the ai-ml php library on gitlab and it worked. I switched to Rubix because there seemed to be more possibilities and more development activities.
Can you help Me ?
Thanks
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Hi,
I developed a conversational agent to control my home automation. I submit sentences to it and I use A.I. to find the one that is most similar in a set of sentences from the knowledge base. From there I move on to home automation orders. My problem is that if the sentence contains several words contained in the knowledge base, it does not select the sentence which is closest but the first which contains the first recognized word.
After the training sentence, I tested several classifiers NaiveBayes, GaussianNB but the result is not correct.
I developed with the ai-ml php library on gitlab and it worked. I switched to Rubix because there seemed to be more possibilities and more development activities.
Can you help Me ?
Thanks
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