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
220
1

Introduction to NLP : How to improve accessibility with Machine Learning

WWCode CONNECT REIMAGINE 2021

Avatar for Victoria Ubaldo

Victoria Ubaldo

June 11, 2021

More Decks by Victoria Ubaldo

See All by Victoria Ubaldo
Analizar Datos con Python y Google Colab
Avatar for Victoria Ubaldo vickyale
1
170
¿Cómo estar al día en Tecnología, como profesional tech?
Avatar for Victoria Ubaldo vickyale
1
480
Primeros pasos en AI/ML
Avatar for Victoria Ubaldo vickyale
0
120
ML Zero to Hero in GCP
Avatar for Victoria Ubaldo vickyale
0
98
Agile & Big Data
Avatar for Victoria Ubaldo vickyale
1
64
Clean Data with Python
Avatar for Victoria Ubaldo vickyale
0
260
AoG Workshop for IWD19
Avatar for Victoria Ubaldo vickyale
0
170
Introducción a Actions for Google Assistant
Avatar for Victoria Ubaldo vickyale
0
87
Kit para crear un sitio web móvil asombroso!
Avatar for Victoria Ubaldo vickyale
0
51

Other Decks in Technology

See All in Technology
もう一度考える SRE チームの作り方・育て方 / Rethinking SRE #1: Building and Growing SRE Teams
Avatar for rrreeeyyy rrreeeyyy
6
1k
【CEDEC2026】専門性の高いデフォルメチームが挑んだ人材育成戦略 〜Cygames Academiaの企画から実施まで〜
Avatar for Cygames, Inc. cygames
PRO
0
530
20260608_Codexの可能性_ノンプログラマー向け_大城追記
Avatar for NobuakiOshiro doradora09
PRO
0
780
AI時代の強いチームの作り方
Avatar for yuukiyo yuukiyo
26
16k
Data Hubグループ 紹介資料
Avatar for Sansan, Inc. sansan33
PRO
0
3.1k
Goでデータパイプラインを作ろう
Avatar for SansanTech sansantech
PRO
0
360
つくって納得、つかって実感！ 大規模言語モデルことはじめ ver2.0
Avatar for Recruit recruitengineers
PRO
3
1.2k
『三匹の子ぶた』から学ぶネットワークセキュリティの昔と今 / Network Security: Then and Now Through the Lens of The Three Little Pigs
Avatar for NTT docomo Business nttcom
1
1.8k
ホームラボ紹介
Avatar for 世良泰明 y_sera15
0
120
Breaking the Seal: Static Deobfuscation of Compiled V8 JavaScript Bytecode Malware
Avatar for hasherezade hshrzd
0
660
【５分でわかる】セーフィー エンジニア向け会社紹介
Avatar for Safie safie_recruit
0
53k
TypeScript入門 2026
Avatar for Recruit recruitengineers
PRO
2
500

Featured

See All Featured
Navigating Weather and Climate Data
Avatar for Ryan Abernathey rabernat
0
460
The Illustrated Children's Guide to Kubernetes
Avatar for Chris Short chrisshort
51
53k
How to Grow Your eCommerce with AI & Automation
Avatar for Katarina Dahlin katarinadahlin
PRO
1
230
Understanding Cognitive Biases in Performance Measurement
Avatar for Philip Tellis bluesmoon
32
3k
Deep Space Network (abreviated)
Avatar for Tony Rice tonyrice
0
250
Marketing Yourself as an Engineer | Alaka | Gurzu
Avatar for Gurzu gurzu
0
270
jQuery: Nuts, Bolts and Bling
Avatar for Doug Neiner dougneiner
66
8.5k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
Avatar for konakalab konakalab
0
530
Game over? The fight for quality and originality in the time of robots
Avatar for Wayne Barker wayneb77
1
240
Become a Pro
Avatar for Speaker Deck speakerdeck
PRO
31
6.2k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
Avatar for Ines Montani inesmontani
PRO
3
2.3k
For a Future-Friendly Web
Avatar for Brad Frost brad_frost
183
10k

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