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The NLP Cypher | 01.03.21
Author(s): Quantum Stat Dream of St. Ursula | Carpaccio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER A New Era Hey Welcome back, you made it! Now, let us begin 2021 on the right path with an impromptu moment of customer service by Elon Musk: declassified …
How Do Language Models Predict the Next Word?🤔
Author(s): Bala Priya C N-gram language models – an introduction Photo by Mick Haupt on Unsplash Have you ever guessed what the next sentence in the paragraph you’re reading would likely talk about? Have you ever noticed that while reading, you almost always …
Conditional Story Generation — Part 1
Author(s): Francesco Fumagalli Natural Language Processing Conditional Story Generation — Part 1 Helping story writers with text generation Picture by Min An from Pexels Natural Language Processing (NLP) is a wonderfully complex field, composed of two main branches: Natural Language Understanding (NLU) and Natural Language Generation …
Top 3 NLP Use Cases a Data Scientist Should Know
Author(s): Alexandros Zenonos, PhD How a data scientist deals with text Continue reading on Towards AI » Published via Towards AI …
Natural Language Processing in Tensorflow
Author(s): Bala Priya C Natural Language Processing Tokenization and Sequencing Photo by Emma Matthews Digital Content Production on Unsplash In this blog post, we shall seek to learn how to implement tokenization and sequencing, important text pre-processing steps, in Tensorflow. Outline Introduction to …
Natural Language Processing (NLP)
Author(s): Johar M. Ashfaque Source: Pixabay Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted, and value extracted …
Spoken Language Recognition Using Convolutional Neural Networks
Author(s): Joscha Simon Rieber Automatically identify the spoken language from a speech audio signal with TensorFlow Photo by Su San Lee on Unsplash Introduction Applications At Fraunhofer IAIS, we work on various speech technologies such as automatic speech recognition, speaker recognition, etc. In …
Extract the text from long videos with Python
Last Updated on December 13, 2020 by Editorial Team Author(s): Eugenia Anello A simple guide to build a speech recognizer using Google’s API Figure 1: Photo on Pixabay Speech recognition is an interesting task that allows you to improve the quality of your life. …
Extracting Features from Text Data
Author(s): Bala Priya C Natural Language Processing Part 3 of the 6 part technical series on NLP Photo by Caleb Woods on Unsplash Hey everyone! 👋 This is part 3 of the 6 part NLP series; Part 1 of the NLP series introduced basic concepts …
Sentiment Analysis (Opinion Mining) with Python — NLP Tutorial
Source: Derivative from original by Engin Akyurt on Pixabay An in-depth NLP tutorial diving into sentiment analysis (opinion mining) with Python Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as well on Google Colab. Table of Contents …
Word-cloud with Python
Author(s): Amit Chauhan Text Comments converted to word-cloud visualization Continue reading on Towards AI » Published via Towards AI …
Jordan Peterson NLP word frequency Analysis
Author(s): Michelangiolo Mazzeschi Does his language use vary within the same course? Full repo using Spacy at my repo Continue reading on Towards AI » Published via Towards AI …
Word Embeddings in High-Level
Author(s): George Pipis A High-Level Introduction to Word Embeddings in Plain English Continue reading on Towards AI » Published via Towards AI …
The NLP Cypher | 11.29.20
Author(s): Quantum Stat found it on @vboykis’s twitter NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER Hand of God Hey, welcome back, just returned from the holidays. And Happy Thanksgiving for those celebrating. It’s been a slow week given the holiday break so the newsletter …
Email Assistant Powered by GPT-3
Last Updated on November 29, 2020 by Editorial Team Author(s): Shubham Saboo OpenAI recently published a new successor to their language model, GPT-3, which is now the largest model trained so far with 175 billion parameters. What fools call “wasting time” is most …
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