Text Summarization Approaches for NLP Practical Guide with Generative Examples
![nlp example](data:image/jpeg;base64,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)
Since 2015,[21] the statistical approach was replaced by neural networks approach, using word embeddings to capture semantic properties of words. There are many open-source libraries designed to work with natural language processing. These libraries are free, nlp example flexible, and allow you to build a complete and customized NLP solution. Every time you type a text on your smartphone, you see NLP in action. You often only have to type a few letters of a word, and the texting app will suggest the correct one for you.
![nlp example](data:image/jpeg;base64,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)
The invention of Carlos Pereira, a father who came up with the application to assist his non-verbal daughter start communicating, is currently available in about 25 languages. Natural language processing (NLP) assists the Livox application to become a communication device for individuals with disabilities. Gartner forecasts that 85% of all customer interactions will be managed without any human involvement by 2020. It is starting to become perfect at decoding the motive behind your message even when there are important details or spelling errors omitted in your search terms. Auto-complete, auto-correct as well as spell and grammar check make up functions that are powered by NLP. Natural language processing (NLP) is behind the accomplishment of some of the things that you might be disregard on a daily basis.
Summarization with GPT-2 Transformers
The simpletransformers library has ClassificationModel which is especially designed for text classification problems. Now, I will walk you through a real-data example of classifying movie reviews as positive or negative. Torch.argmax() method returns the indices of the maximum value of all elements in the input tensor.So you nlp example pass the predictions tensor as input to torch.argmax and the returned value will give us the ids of next words. You can pass the string to .encode() which will converts a string in a sequence of ids, using the tokenizer and vocabulary. This technique of generating new sentences relevant to context is called Text Generation.
“AI for Enterprise”: Lessons Learned from Healthcare, Hugging Face … – OODA Loop
“AI for Enterprise”: Lessons Learned from Healthcare, Hugging Face ….
Posted: Thu, 14 Sep 2023 14:00:58 GMT [source]
Q. Extract the summary of the given text based on the Luhn Algorithm. Q. Extract the summary of the given text based on the TextRank Algorithm. Q. Extract the summary of the given text based using gensim package based https://www.metadialog.com/ on the TextRank Algorithm. IBM has launched a new open-source toolkit, PrimeQA, to spur progress in multilingual question-answering systems to make it easier for anyone to quickly find information on the web.
Statistical NLP, machine learning, and deep learning
Only the introduction of hidden Markov models, applied to part-of-speech tagging, announced the end of the old rule-based approach. Automatic summarization consists of reducing a text and creating a concise new version that contains its most relevant information. It can be particularly useful to summarize large pieces of unstructured data, such as academic papers.
![nlp example](data:image/jpeg;base64,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)
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