Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Introduction to NLP : How to improve accessibil...

Avatar for Victoria Ubaldo Victoria Ubaldo
June 11, 2021
Technology
1
190

Introduction to NLP : How to improve accessibility with Machine Learning

WWCode CONNECT REIMAGINE 2021
Avatar for Victoria Ubaldo

Victoria Ubaldo

June 11, 2021
Tweet

More Decks by Victoria Ubaldo

See All by Victoria Ubaldo
Analizar Datos con Python y Google Colab
Avatar for Victoria Ubaldo vickyale
1
120
¿Cómo estar al día en Tecnología, como profesional tech?
Avatar for Victoria Ubaldo vickyale
1
410
Primeros pasos en AI/ML
Avatar for Victoria Ubaldo vickyale
0
100
ML Zero to Hero in GCP
Avatar for Victoria Ubaldo vickyale
0
70
Agile & Big Data
Avatar for Victoria Ubaldo vickyale
1
39
Clean Data with Python
Avatar for Victoria Ubaldo vickyale
0
230
AoG Workshop for IWD19
Avatar for Victoria Ubaldo vickyale
0
130
Introducción a Actions for Google Assistant
Avatar for Victoria Ubaldo vickyale
0
62
Kit para crear un sitio web móvil asombroso!
Avatar for Victoria Ubaldo vickyale
0
39

Other Decks in Technology

See All in Technology
Securing your Lambda 101
Avatar for Ilia chillzprezi
0
290
What's new in OpenShift 4.19
Avatar for Red Hat Livestreaming redhatlivestreaming
1
270
自分を理解するAI時代の準備 〜マイプロフィールMCPの実装〜
Avatar for edo edo_m18
0
110
"SaaS is Dead" は本当か！？ 生成AI時代の医療 Vertical SaaS のリアル
Avatar for KAKEHASHI kakehashi
PRO
3
220
白金鉱業Meetup_Vol.19_PoCはデモで語れ！顧客の本音とインサイトを引き出すソリューション構築​
Avatar for BrainPad brainpadpr
2
410
CI/CDとタスク共有で加速するVibe Coding
Avatar for tnbe21 tnbe21
0
190
Workflows から Agents へ ~ 生成 AI アプリの成長過程とアプローチ~
Avatar for Belong inc. belongadmin
3
160
菸酒生在 LINE Taiwan 的後端雙刀流
Avatar for LINE Developers Taiwan line_developers_tw
PRO
0
220
kubellが挑むBPaaSにおける、人とAIエージェントによるサービス開発の最前線と技術展望
Avatar for kubell kubell_hr
1
320
エンジニア採用から始まる技術広報と組織づくり/202506lt
Avatar for Ichiro Nishiuma nishiuma
8
1.7k
AWS アーキテクチャ作図入門/aws-architecture-diagram-101
Avatar for Kohei "Max" MATSUSHITA ma2shita
24
8.8k
Copilot Agentを普段使いしてわかった、バックエンド開発で使えるTips
Avatar for ykagano ykagano
1
1.3k

Featured

See All Featured
KATA
Avatar for Megan Lloyd mclloyd
29
14k
Building a Modern Day 
E-commerce SEO Strategy
Avatar for Aleyda Solis aleyda
41
7.3k
Designing for humans not robots
Avatar for Tammie Lister tammielis
253
25k
Fireside Chat
Avatar for paigeccino paigeccino
37
3.5k
[RailsConf 2023 Opening Keynote] The Magic of Rails
Avatar for Eileen M. Uchitelle eileencodes
29
9.5k
Fashionably flexible responsive web design (full day workshop)
Avatar for Andy Clarke malarkey
407
66k
Making Projects Easy
Avatar for Brett Harned brettharned
116
6.2k
What's in a price? How to price your products and services
Avatar for Michael Herold michaelherold
245
12k
A Tale of Four Properties
Avatar for Chris Coyier chriscoyier
159
23k
Faster Mobile Websites
Avatar for Dean Hume deanohume
307
31k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
Avatar for Eileen M. Uchitelle eileencodes
137
34k
Designing Dashboards & Data Visualisations in Web Apps
Avatar for Des Traynor destraynor
231
53k

Transcript

  1. None

  2. Victoria Ubaldo @Vikyale Introduction to NLP : How to improve

    accessibility with Machine Learning CONNECT REIMAGINE 2021

  3. Hello! Computer and System Engineer. Peruvian Data Analyst @Interbank Msc

    Candidate Computer Science, PUCP. Enjoy mentoring, illustration and dancing!

  4. Agenda • Machine Learning and Accessibility • Natural Language Processing

    • Tensorflow for NLP • Next steps
  5. None
  6. None
  7. None

  8. Machine Learning is programming with data

  9. None
  10. None

  11. Natural Language Process (NLP)

  12. None

  13. Where find NLP ? Chatbots Predictive text (autocomplete) Transcription Language

    translation Others: Text Analysis Email filters Search Result Sentiment Analysis

  14. Challenges in NLP

  15. None

  16. Challenges in NLP : Textual Accessibility Visual Auditory Speech

  17. Accessible = Comprehensible

  18. Challenges in NLP : Textual Accessibility Transcription Speech recognition Language

    Translation

  19. Case : Recognize sentiment in Text

  20. None

  21. Amazon and Yelp reviews 1 : Good 0: Bad

  22. Pre-processing data

  23. Text Processing

  24. Tokenization

  25. Out Of Vocabulary (OOV) EXTRA WORDS unknown tokens (UNK)

  26. Stop Words

  27. Stemming

  28. Lemmatization

  29. Padding

  30. Tools! • Python 3.+ • Jupyter Notebook or Google Colab

    • and using a framework for ML

  31. ¿Why Tensorflow? Whether you’re an expert or a beginner, TensorFlow

    is an end-to-end platform that makes it easy for you to build and deploy ML models.

  32. Trying in Google Colab bit.ly/2TU9MJz

  33. Challenges in NLP : Textual Accessibility Transcription Speech recognition

  34. None

  35. Challenges in NLP : Textual Accessibility Language Translation

  36. None

  37. Next steps Try new tools : - Recurrent Neural Network

    (RNN) - Long short-term memory (LSTM)

  38. Next steps Increase your corpus with diverse data. - PDFMiner

    - Tweepy API

  39. Next steps Datasets with native or indigenous language or code

    mixing

  40. “We can build a much brighter future where humans are

    relieved of menial work using AI capabilities” - Andrew Ng

  41. Thanks! @womenwhocode #WWCode Keep in touch! linkedin.com/in/victoriaubaldo @vikyale

  42. None