Discover and read the best of Twitter Threads about #Semantic
Most recents (3)
40 Deep #SEO Insights for 2023:
-In 2022, I told to focus on Natural Language Generation, and it happened.
-In 2023, F-O-C-U-S on "Information Density, Richness, and Unique Added Value" with Microsemantics.
I call the collection of these, "Information Responsiveness".
1/40 🧵.
-In 2022, I told to focus on Natural Language Generation, and it happened.
-In 2023, F-O-C-U-S on "Information Density, Richness, and Unique Added Value" with Microsemantics.
I call the collection of these, "Information Responsiveness".
1/40 🧵.
1. PageRank Increases its Prominence for Weighting Sources
Reason: #AI and automation will bloat the web, and the real authority signals will come from PageRank, and Exogenous Factors.
The expert-like AI content and real expertise are differentiated with historical consistency.
Reason: #AI and automation will bloat the web, and the real authority signals will come from PageRank, and Exogenous Factors.
The expert-like AI content and real expertise are differentiated with historical consistency.
2. Indexing and relevance thresholds will increase.
Reason: A bloated web creates the need for unique value to be added to the web with real-world expertise and organizational signals. The knowledge domain terms, or #PageRank, will be important in the future of a web source.
Reason: A bloated web creates the need for unique value to be added to the web with real-world expertise and organizational signals. The knowledge domain terms, or #PageRank, will be important in the future of a web source.
🍻New paper published on @BDCC_MDPI, collab. w. @mvitevit and @Fede_Botta:
👇
Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust
👇
mdpi.com/2504-2289/6/2/…
👇
Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust
👇
mdpi.com/2504-2289/6/2/…
@BDCC_MDPI @mvitevit @Fede_Botta We investigate almost 5k Popular tweets about #COVID19 and #vaccines from early 2021.
Remember when vaccines were announced?
How did massively read content frame vaccines? With which stances and emotions?
We use #cognitive networks and #machinevision to address these points!
Remember when vaccines were announced?
How did massively read content frame vaccines? With which stances and emotions?
We use #cognitive networks and #machinevision to address these points!
We found #emotional #polarisation in the framing of "vaccines" in English tweets.
Emotions like trust and anticipation co-existed with negative emotions of sadness and anger.
A circumplex model corroborated this dichotomy. These emotions rose from discussions about cases/deaths:
Emotions like trust and anticipation co-existed with negative emotions of sadness and anger.
A circumplex model corroborated this dichotomy. These emotions rose from discussions about cases/deaths:
#MDSI2019 Day2 Session 2: "Standardization of file format I/O" by @jppiquem.
Straight into problems -- input files are a tougher cookie to crack than output 🍪
Straight into problems -- input files are a tougher cookie to crack than output 🍪
Actually, Day 2 Session 3 #hasphdcantcount
#Input: Many problems -- many possible solutions! How to find the right one? #goldilocks
#Output: probably easier to handle and we can learn from other fields, like climate research.
#Output: probably easier to handle and we can learn from other fields, like climate research.
