ChatBot is a platform that lets you create your own chatbots with no programming skills.
Design smooth conversational experiences to build better relationships with your customers. Send dynamic responses that encourage customers to chat and interact. Mix and match text, images, buttons, and quick replies to show off your brand, products, and services.
Use ChatBot on different platforms and channels using one-click integration (Facebook Messenger, Slack, LiveChat, WordPress, and more). Connect your chatbot to just about anything you can think of using open API, webhooks, and Zapier.
Based on our record, Gensim should be more popular than ChatBot. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🤝. - Source: dev.to / over 1 year ago
Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling. Source: over 1 year ago
Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;. - Source: dev.to / almost 2 years ago
TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: about 2 years ago
For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use. - Source: dev.to / over 2 years ago
Intercom, Solvvy, chatbot.com, helpshift etc the list goes on. Source: over 1 year ago
Engineering is definitely going to be the harder path to take to get into Ai but also more lucrative. I started off in UX design which is in high demand right now, everyone is looking for designers. Many places offer quick design certificates but do your research before picking one. Build up a portfolio of work that you've done. Play around with bot builder programs like IBM's Watson. Check out chatbot.com, they... Source: over 2 years ago
So my tips for you would be: create a personal website (I like squarespace), learn how add a bot to your site using programs like chatbot.com, start networking (LinkedIn is helpful), start building a portfolio of case studies, watch lots of youtube videos. Source: over 2 years ago
Dialogflow CX is the most advanced dialog model with a combination of intents, events and a state machine for every flow. However the interface is somewhat limited and a lot of features are expected to be done in your fulfilment backend with code that are available in the gui in watson or chatbot.com if you run your own backend server anyways and want to invest a bit in building the best solution possible, this... Source: almost 3 years ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
rasa NLU - A set of high level APIs for building your own language parser
Landbot - An intuitive no-code conversational apps builder that combines the benefits of conversational interface with rich UI elements.
FastText - Library for efficient text classification and representation learning
ManyChat - ManyChat lets you create a Facebook Messenger bot for marketing, sales and support.