The NLP Cypher | 11.22.20
Author(s): Ricky Costa Originally published on Towards AI. Botticelli NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher U+007C 11.22.20 Ultima Ratio Regum Hey welcome back! EMNLP happened this week U+1F440. Tons of research came out and this newsletter won’t do justice …
Branches in Artificial Intelligence to Transform Your Business!
Author(s): Jash Rathod Originally published on Towards AI. Artificial Intelligence Exploring Expert Systems, Machine Learning (ML), Robotics, Computer Vision (CV), Natural Language Processing (NLP), and Planning Image from Business Insider On May 8, 2018, Google I/O was held at Shoreline Amphitheatre in …
Tweet Topic Modeling: Cleaning and Preprocessing Tweets
Author(s): John Bica Originally published on Towards AI. Multi-part series showing how to scrape, preprocess and apply & visualize short text topic modeling for any collection of tweets Disclaimer: This article is only for educational purposes. We do not encourage anyone to …
Tweet Topic Modeling: Visualizing Topic Modeling Results with Plotly
Author(s): John Bica Originally published on Towards AI. Multi-part series showing how to scrape, preprocess and apply & visualize short text topic modeling for any collection of tweets Disclaimer: This article is only for educational purposes. We do not encourage anyone to …
Dataset Used:-
Author(s): Pushkara Sharma Originally published on Towards AI. Natural Language Processing, Programming Automatic Moderator for StackOverflow Questions In this article, we will try to build a machine learning model that will automatically predict the quality of the question asked by the person …
A Quick Introduction to Semantic Clustering for Large Texts
Author(s): Yash Prakash Originally published on Towards AI. Group together documents with similar meaning in a large corpus easily. Photo by Melissa Askew on Unsplash Many times, a simple Natural Language Processing task such as grouping together a large collection of sentences …
How to Make a Model with Textual Input Benefit From User’s Age
Author(s): Sebastian Poliak Originally published on Towards AI. Deep Learning How to Make a Model with Textual Input Benefit From User’s Age Enriching Sequential LSTM Model with Non-Sequential Features Sequence data can be found in various fields and use cases of Machine …
Decrypting QAnon
Author(s): Luca Giovannini Originally published on Towards AI. Natural Language Processing, Opinion A NLP-oriented look at the movement’s core texts. QAnon flag at Virginia 2nd Amendment Rally, January 2020. Credits: Anthony Crider/Flickr (CC-BY 2.0) One of the most interesting effects of the …
Using NLP to Improve PICO Element Identification and Extraction for SLRs and Evidence-based Medicine
Author(s): Gaugarin Oliver Originally published on Towards AI. Natural Language Processing Although the term “evidence-based medicine” (EBM) first appeared in print in the early 1990s, the history of this now-popular approach to clinical practice goes back much further. In the mid-18th century, …
Feeling Better? Analyzing the Effects of Social Media Engagement on Depression Using Natural Language Processing
Author(s): Aadit Barua Originally published on Towards AI. Photo by Stefano Pollio on Unsplash Aadit Barua, Westlake High School, Austin, TX A global challenge Depression is a mental health condition that affects over 250 million people, according to the World Health Organization …
How Natural Language Processing Improves Clinical Evaluation Reports for Medical Devices
Author(s): Gaugarin Oliver Originally published on Towards AI. Natural Language Processing The EU Medical Device Regulation (MDR) of 2017 (also known as Regulation (EU) 2017/745) has had a huge impact on the regulation of medical devices in Europe, including more stringent manufacturer …
NLP-Powered Data Extraction for SLRs and Meta-Analyses
Author(s): Gaugarin Oliver Originally published on Towards AI. Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of …
![Is it possible to do Text Classification on unlabeled data? (Feat. Zero-Shot Classification) [Experiment]](https://i0.wp.com/miro.medium.com/v2/resize:fit:875/0*3WFE40xpkt2gMo3Q?w=875&resize=875,584&ssl=1 "Is it possible to do Text Classification on unlabeled data? (Feat. Zero-Shot Classification) [Experiment]")
Is it possible to do Text Classification on unlabeled data? (Feat. Zero-Shot Classification) [Experiment]
Author(s): Ala Alam Falaki Originally published on Towards AI. Photo by Markus Spiske on Unsplash A couple of months ago, I did an experiment to answer the question: Is it possible to do sentiment analysis if we do not have the target …
Finding the Needle in the Haystack: How to Train a Dense Passage Retriever
Author(s): Thilina Rajapakse Originally published on Towards AI. Let’s see how we can train a model to perform dense-passage retrieval with Transformer models using Simple Transformers. Photo by matthew Feeney on Unsplash Passage retrieval is a conceptually simple task where a system …
An Intuitive Introduction to Document Vector(Doc2Vec)
Author(s): Manish Nayak Originally published on Towards AI. Intro to Doc2Vec U+007C Towards AI Introduction Doc2Vec is an extension of Word2vec that encodes entire documents as opposed to individual words. You can read about Word2Vec in my previous post. Doc2Vec vectors represent …
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