NLP or Natural Language Processing is the process that allows computers to interpret the meaning of a request instead of following a strict conversational path. NLP business chatbots allow conversations between humans and bots to be more natural, more meaningful, and less scripted.
When to use NLP for your chatbot
Instead of restricting your users to a rigid conversational flow, NLP business chatbots allow people to interact with them like they would a friend or family member via a messaging app.
When it comes to conversational ecommerce, we want chatbots to be just that – conversational.
NLP improves the overall user experience of your bot, which broadens its uses and maximizes your investment.
If your users have many options to choose from, or they ask multiple questions about a specific subject, then NLP will provide a better experience. This makes NLP bots great for banking, retail, academic uses, and all kinds of campaigns.
WhatsApp with NLP
Chatbots on WhatsApp have been successful in bringing brands into the everyday conversations of consumers. With its reach and user base, WhatsApp is a prime space for businesses to build relationships with customers. However, these conversational experiences require NLP for success.
Chatbots on WhatsApp with NLP capabilities are more engaging than button-based chatbots. They do more than follow the branches of a scripted conversation; they learn through interaction and develop appropriate responses to input regardless of how a question is phrased.
NLP Business Resources
There are a few NLP business resources that make NLP easier to navigate. Many of these resources include framework libraries that make it easy for you to get started without having to reinvent the wheel. To begin, check out these NLP business resources:
- Natural Language Toolkit NLTK is a leading platform for building Python programs to work with human language data, providing easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet. It also provides a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.
- Stanford’s Core NLP Suite Analyzing text data using Stanford’s CoreNLP makes text data analysis straightforward and efficient. With just a few lines of code, CoreNLP allows for the extraction of all kinds of text properties, such as named-entity recognition or part-of-speech tagging. CoreNLP is written in Java and requires Java to be installed on your device but offers programming interfaces for several popular programming languages, including Python.
- Apache OpenNLP OpenNLP project is an Apache-licensed suite of tools to complete tasks like tokenization, part of speech tagging, parsing, and named entity recognition.
- GATE and Apache UIMA These frameworks standardize and abstract much of the repetitive work that goes into building a complex NLP application.
Hubtype: Your NLP Business Partner
Hubtype’ framework allows developers to easily build and host chatbots with one-click integrations at a fraction of the cost. We provide NLP services to save you time and money. We’re excited to be releasing NLP that understands more than 100 languages after being trained in only one language.