Xxx chatbots

I am working on a chatbot where the bot will interact with customers. I have done a bit but I would appreciate suggestions to improve it.If the customer enters: How can I build a bot so it would revert back on these answers? My customers could write anything, could ask anything.Knowing this you can filter/ match the question to your predefined answers much better than before.from import pos_tag def pos_tag_sentence(sentence): """Takes a list of words and returns their matching part of speech""" default_tagger = load(_POS_TAGGER) train_model = g.train_model # the custom model as a dictionary tagger = When you registered for an account, you picked a plan that specified some limits on API and usage of our server.If you want to upgrade your plan or discuss customized options, feel free to contact [email protected]: This platform is independent of the Playground. project, and is optimized for use on the Pandorabots platform.Unigram Tagger(model=train_model, backoff=default_tagger) # Unigram works best in short text return dict(tagger.tag(sentence)) To take this a bit further, if you have a data set consisting of example questions and matching answers, you could try supervised learning algorithms, using for example the part of speech and words as features (scikit-learn is a great library).

The model of the car is labeled as a proper noun, car and cost as nouns etc.Please, could somebody help to ensure the bot will understand different phrasings of the same query? Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. See the How to Ask page for help clarifying this question.Use any of the existing NLP libraries like Opennlp or Stanford Nlp for POSTagging or sentiment analysis of your user's input to get the name of the car(as mentioned in your example) or to understand any part of the sentence.Please take some time to read over the documentation below.To explore how to build a bot using Artificial Intelligence Markup Language on the Pandorabots Platform, please visit the Playground.

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Also available are SDKs developed by the PB community (please contact the individual contributor regarding any questions you may have on the following SDKs): Special thanks to the PB community for contributing to these open-source efforts, including: Dr.

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