Our Favorite Posts Of Last Week (Mar 11, 2018)

Dynamic word embeddings for evolving semantic discovery

One of the most popular posts on this blog is my introduction to word embeddings with word2vec (‘The amazing power of word vectors’). In today’s paper choice Yao et al. introduce a lovely extension that enables you to track how the meaning of words changes over time.
Link: https://blog.acolyer.org/2018/02/22/dynamic-word-embeddings-for-evolving-semantic-discovery/
Word Count: 1050

Your guide to AI in Q4 2017, by nathan.ai

Here’s a selection of impactful work that caught my eye: A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs, Vicarious AI.
Link: https://www.getrevue.co/profile/nathanbenaich/issues/your-guide-to-ai-in-q4-2017-by-nathan-ai-78767
Word Count: 1028

Mobile-First Indexing or a Whole New Google? Is Mobile-First the Same as Voice-First? Article 1 of 4

In the past month or so, there have been some significant signals that Google is getting much closer to launching the Mobile-First Index, but there have also been some other potential signals that Mobile-First Indexing may coincide with or support a much larger shift from Google.
Link: https://mobilemoxie.com/blog/mobile-first-indexing-whole-new-google-voice-first-article-1-3/
Word Count: 3685

Calculating Click Spread and Host Click Spread from ClickStream Data

One difficult to determine feature of SERPs is the likelihood of a click occurring on your result given ranking position, personalization, and geo-location.
Link: https://www.reddit.com/r/TechSEO/comments/837e63/calculating_click_spread_and_host_click_spread/
Word Count: 680

Google Chrome SEO Without A Plugin

This post tries to cover many SEO items that can be handled via plain vanilla Google Chrome. There are numerous add-ons for Chrome that handle many SEO data gathering tasks, but those are not covered here.
Link: https://codeseo.io/google-chrome-seo-without-a-plugin/
Word Count: 661

Some terrible personal news

Cindy Cutts, my wife and best friend, passed away earlier this week. While I was traveling for work recently, Cindy went to visit her family in Omaha, Nebraska. On Sunday, while enjoying time with family, Cindy started having trouble breathing.
Link: https://www.mattcutts.com/blog/cindy-cutts/
Word Count: 428

The JavaScript Indexing Drag Race

We know that JavaScript SEO is becoming more of an interest area as Google gets better at rendering content served in this way.
Link: https://strategiq.co/javascript-indexing-drag-race/
Word Count: 2210

What Is Latent Semantic Indexing & Why It Won't Help Your SEO

You have most likely heard of Latent Semantic Indexing (LSI). The term has been appropriated by some in the SEO industry, including some well-known influencers. They claim that its application is key for organic search success.
Link: https://www.searchenginejournal.com/latent-semantic-indexing-wont-help-seo/240705/
Word Count: 1364

Stanford CoreNLP – Natural language software

Stanford CoreNLP provides a set of human language technology tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc.
Link: http://stanfordnlp.github.io/
Word Count: 793

The Ultimate Pagination - SEO Guide

Pagination on websites is a system to organize content. The idea is to divide the content on separate pages. Pagination is normally displayed as arrows, a series of page numbers or "previous" and "next" buttons. Pagination has an effect on site structure as well as usability.
Link: https://audisto.com/insights/guides/1/
Word Count: 4774

How to Work 40 Hours in 16.7 (The Simple Technique That Gave Me My Life Back)

Sound familiar? Looking back, I realize I used my work to try and fill a void in myself. The problem was that this void was like a black hole. No matter how many hours I worked, it never seemed to fill it up. If anything, it made me feel worse.
Link: https://stories.buffer.com/how-to-work-40-hours-in-16-7-the-simple-technique-that-gave-me-my-life-back-8f98ec011862
Word Count: 1737

Standardizing lessons learned from AMP

For over two years, AMP has been a leading format for creating consistently excellent user experiences on the web, and Google continues to invest strongly in it as our well-lit path to achieving a user-first web.
Link: https://amphtml.wordpress.com/2018/03/08/standardizing-lessons-learned-from-amp/
Word Count: 866

5 Quick and Easy Data Visualizations in Python with Code

Data Visualization is a big part of a data scientist’s jobs. In the early stages of a project, you’ll often be doing an Exploratory Data Analysis (EDA) to gain some insights into your data.
Link: https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f
Word Count: 1455

Bing Entity Search API is now available

Bing announced that their Bing Entity Search API is now available to US based users and also in Australia, Brazil, Canada, France, Germany, India, Italy, Mexico, Spain and the United Kingdom regions.
Link: https://searchengineland.com/bing-entity-search-api-now-available-293342
Word Count: 191

Time Series for Dummies – The 3 Step Process

After a satisfying meal of Chinese takeout, you absentmindedly crack open the complimentary fortune cookie. Glancing at the fortune inside, you read, “A dream you have will come true.” Scoffing, you toss the small piece of paper and pop the cookie in your mouth.
Link: https://www.kdnuggets.com/2018/03/time-series-dummies-3-step-process.html
Word Count: 1763

The Condensed Guide to Running Meetings

We love to hate meetings. And with good reason — they clog up our days, making it hard to get work done in the gaps, and so many feel like a waste of time.
Link: https://hbr.org/2015/07/the-condensed-guide-to-running-meetings
Word Count: 1702

A General Approach to Preprocessing Text Data

Recently we looked at a framework for approaching textual data science tasks. We kept said framework sufficiently general such that it could be useful and applicable to any text mining and/or natural language processing task.
Link: https://www.kdnuggets.com/2017/12/general-approach-preprocessing-text-data.html
Word Count: 1524

Tensor Comprehensions in PyTorch

• Priya Goyal (FAIR), Nicolas Vasilache (FAIR), Oleksandr Zinenko (Inria & DI ENS), Theodoros Theodoridis (ETH Zürich), Zachary DeVito (FAIR), William S. Moses (MIT CSAIL), Sven Verdoolaege (FAIR), Andrew Adams (FAIR), Albert Cohen (Inria & DI ENS & FAIR)
Link: http://pytorch.org/2018/03/05/tensor-comprehensions.html
Word Count: 1422

Graph Analytics on Company Data and News

Analyzing diverse data from multiple sources is a complex task. For a start, matching concepts and entities across disparate data sources and recognizing that they are mentioned in texts requires clear disambiguation of their meaning.
Link: https://ontotext.com/knowledgehub/webinars/cognitive-graph-analytics-webinar/
Word Count: 184

Capsule Networks Are Shaking up AI  – Here’s How to Use Them

If you follow AI you might have heard about the advent of the potentially revolutionary Capsule Networks. I will show you how you can start using them today. Geoffrey Hinton is known as the father of “deep learning.
Link: https://www.kdnuggets.com/2017/11/capsule-networks-shaking-up-ai.html
Word Count: 942

3 Ways Query Stream Ontologies Change Search

What are query stream ontologies, and how might they change search? Search engines trained us to use keywords when we searched – to try to guess what words or phrases might be the best ones to use to try to find something we are interested in.
Link: http://www.seobythesea.com/2018/03/3-ways-query-stream-ontologies-change-search/
Word Count: 1912

Running a free Twitter bot on AWS Lambda

If you read About time, you'll know that I'm a big believer in spending time now on building things that save time in the future. To this end I built a simple Twitter bot in Go that would occasionally post links to my articles and keep my account interesting even when I'm too busy to use it.
Link: https://dev.to/hivickylai/running-a-free-twitter-bot-on-aws-lambda--2pik
Word Count: 1127