Charity Digital – Topics – The basics of natural language processing

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Natural language processing (NLP) is critical to the success of artificial intelligence (AI) tools like chatbots, which charities are increasingly using to serve more beneficiaries.

In essence, NLP is a computer science branch that helps charities and other organizations develop technology and software that responds to text and voice data like we humans do every day. NLP enables charities to use AI to understand and respond to requests from beneficiaries and supporters.

NLP combines with computational linguistics, in which computer science is applied to the analysis of language and language, as well as statistical machine learning and deep learning through computers.

Together, they enable computers to process speech, whether through phone calls or text, to understand the meaning, intent, and mood of the person who turns to the charity.

This form of processing helps computer programs translate text from one language to another, respond to voice commands, and summarize large amounts of text quickly and even in real time.

Another application of NLP is linguistic or grammatical tagging, which helps to determine the language context and to highlight the important keywords such as the relevant nouns and verbs.

NLP also combines with computational linguistics to select the meaning of words that are used multiple times and ensure that the chat bot or speech recognition tool understands the correct meaning of sentences. This is also known as disambiguation of the literal meaning.

Sarcasm, emotions, confusion, and suspicion can also be detected in speech and text using NLP tasks to analyze the mood in the language.

Here’s a look at some of the top ways charities are already using NLP.

Virtual assistants and chatbots

This is increasingly the single most important way NLP supports charities.

Virtual assistants like Amazon’s Alexa use speech recognition to recognize voice commands and process and respond to natural language. With an increasing amount of fundraising and charity content available through such devices, NLP is more in demand than ever.

Chatbots use NLP in the same way to respond to text and support requests from charity and supporters. As they develop, they learn and recognize contextual cues in the requests.

Volunteers and staff can have more time to deal with more complex cases and other tasks for the smooth running of the organization, while NLP-driven chatbots handle other requests.

Charities looking to harness the potential of chatbots include Mencap and WaterAid.

Speech-to-text technology

NLP uses speech recognition to convert speech data into text using speech recognition. A central challenge is recognizing different ways of speaking, such as B. Speed ​​changes, unclear words, emphasis. and intonation. NLP also helps speech-to-text technology to decipher various accents and misuse of grammar.

Many charities, volunteers, and workers use this technology to save time writing documents or filling out forms. It is especially useful for people with physical disabilities who need to write texts.


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