Friday, May 1Digital Marketing Journals

bert

anime, bert, best chatbot, chatbot, chatbot app, chatbot online, chatbot website, chatbots, creating chatbots, data-science, discord chat bot, google chat bots, nlp, robot chat

Build a Chatbot about your favorite series in 30 minutes

Expand your NLP portfolio using BERT and Haystack to answer all your questions!If you’re trying to learn Natural Language Processing (NLP), make a Discord Bot, or are just interested to play around with Transformers for a bit, this is the project for you!In this example, we will create a Chatbot that knows everything about Dragon Ball, but you can do about anything you want! It can be a chatbot that answers questions about another series, a university course, the laws of a country, etc. Firstly, let’s see how that is possible with BERT.How a BERT works as a ChatbotBERT is a Machine Learning technique for NLP created and published by Google in 2018. In the first phase, the model is pre-trained on a large language dataset in a semi-supervised way.In this phase, the model cannot answer questi...
QnA Chatbot using sentence simi. Introduction | by AI Brewery
5-min-read, ai bot, ai chat, ai chatbot, bert, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, conversation with ai, creating chatbots, data-science, machine-learning, nlp, robot chat

QnA Chatbot using sentence simi. Introduction | by AI Brewery

When the user enters the query:1. Calculate the sentence vector of the query2. Identify the most matching sentence from the knowledge base using cosine similaritydef calculate_similarity(query):mean_pooled = get_embedding([query]) question = []similarity = []intent = [] for rec in collection.find():question.append(rec[‘Text’])intent.append(rec[‘Intent’])cos_sim = cosine_similarity([mean_pooled[0]],[np.fromiter(rec[‘Embedding’], dtype=np.float32)]) similarity.append(cos_sim) index = np.argmax(similarity)recognized_intent = intent[index]return recognized_intentIntents JSON fileHere we set up an intents JSON file that defines the intentions of the chatbot user.For example:A user may wish to know the name of our chatbot; therefore, we have created an intent called name.A user may wish to kn...