My role currently centres around designing a health and wellbeing Hub in the Tāmaki community. ![]() “Ara Manawa champions the needs of users in the design of new spaces, services, experiences and products via the application of human-centred design methodology and co-design. I now have a team of seven volunteers to help me out too – how awesome is that? People joining this kaupapa that we created from scratch, because they also believe in challenging the stories of success that exist out there.”Īs if addressing the gender balance in storytelling wasn’t enough to keep her busy, somehow Elina also found the time to work as an experience designer at Ara Manawa, which is part of the Auckland District Health Board. Some of my closest friends are with me now because we met through Storyo. “Over the past two and a half years, we shared stories of over 150 people, ran multiple community events, organised a video and podcast series and met so many incredible people. We also wanted to celebrate gender diversity! These narratives are shared so rarely in the media, making many of us feel like we’re not good enough, unless we fit into a very narrow measure of success. We wanted to celebrate people who are social workers, local artists and local politicians, sex workers and teachers. After scrolling through and being tired of the same ‘success’ stories online, we wanted to share the journeys of our amazing friends. “My partner and I started Storyo in June 2019. When Elina Ashimbayeva was tired of constantly seeing the same type of success stories online, she decided to do something about it and co-founded Storyo, a platform that shares stories of women and gender diverse people in Aotearoa New Zealand. Co-Founder, Storyo / Experience Designer, Ara Manawa, Auckland District Health Board lower ()): if palavra in frequencia : sentencas_importantes += frequencia #"n" most important sentencesįrom heapq import nlargest idx_sentencas_importantes = nlargest ( 4, sentencas_importantes, sentencas_importantes. ![]() words ( 'portuguese' ) + list ( punctuation )) palavras_sem_stopwords = #Creating the frequency distributionįrom nltk.probability import FreqDist frequencia = FreqDist ( palavras_sem_stopwords ) #Separating the most important sentencesįrom collections import defaultdict sentencas_importantes = defaultdict ( int ) #Loop to go through all the sentences and collect all the statisticsįor i, sentenca in enumerate ( sentencas ): for palavra in word_tokenize ( sentenca. lower ()) #Removing the stopwordsįrom rpus import stopwords from string import punctuation stopwords = set ( stopwords. ![]() downloader all #dividing our text into sentences and then into wordsįrom nltk.tokenize import word_tokenize from nltk.tokenize import sent_tokenize sentencas = sent_tokenize ( text ) palavras = word_tokenize ( text. ! pip install nltk #Installation of word dictionaries (corpus) I downloaded the PDF file: “Paper loose 1882” and created a folder on Google Drive for him, using Google Colab and the following code we can extract the text: Remove text from a PDF file with Python:ġ.1. I don’t want to spend hours listening to a book or article for no reason …Ĭome on, for this tutorial, I’m going to use the short story “O Alienista” that is in Machado de Assis’s book “Papers separate 1882”, considering that this is public domain content, which I am using only to validate my attempt at automation and is available at:ġ. ![]() I had this idea after watching this video, where, with a few lines of code it is possible to create an AudioBook from a PDF file, see:īut we can still improve, imagine summarizing books from 300 to 400 pages in a few paragraphs and then create an episode for a Podcast of a few minutes… Motivation: You have already come across gigantic books or articles and thought how long it will take you to read something that in the end, you might not need to read all that and that automation could read, summarize and create an episode of a Podcast of automated way? Obs: This post was first posted on Medium A Podcast? Of Abstracts? PDF? In Python? Automatically? With AI? NLP?
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