Rodrigo Alarcón

[Neo4j @neo4j]

From Text to Knowledge Graph: The Information Extraction Pipeline

@tb_tomaz demonstrates NLP techniques to construct a knowledge graph using text as an input.

https://t.co/kSYe1obmCd

#neo4j #KnowledgeGraph

[Codeq @codeqco]

Codeq just published another blog post: "Codeq: Natural Language Processing and Small Data."

https://t.co/4cT1BuR1Qy

#NLP #MachineLearning #SmallData

[Rodrigo Alarcón @ralarconm]

We just published another Codeq NLP API Tutorial describing a module to analyze the semantic similarity between texts.

https://t.co/xMyc7BAQ4x

#NLP #DeepLearning #MachineLearning #SemanticSimilarity #Semantics #API

[Rodrigo Alarcón @ralarconm]

We just published another Codeq NLP API tutorial describing a single module that can be used to extract semantic roles from texts.

https://t.co/GqWGxl0aGo

#NLP #DeepLearning #MachineLearning #SemanticRolesLabelling #Semantics #Linguistics

[Rodrigo Alarcón @ralarconm]

We published a new tutorial describing modules that can help you to identify the most relevant content from texts.

https://t.co/FaNyAAflYI

#NLP #Summarization #DeepLearning #MachineLearning #Linguistics

[Rodrigo Alarcón @ralarconm]

In this tutorial we showcase modules to classify speech acts and questions, and detect tasks from texts using Codeq's NLP API.

https://t.co/JsxXukd87Z

#NLP #DeepLearning #ConversationalAI #Linguistics #SpeechActs #MachineLearning

[Rodrigo Alarcón @ralarconm]

We published another Codeq NLP API Tutorial, this time we describe modules for the extraction and disambiguation of named entities.

https://t.co/e15oEPPQhf

#NLP #MachineLearning #DeepLearning #API #NamedEntityRecognition

[Rodrigo Alarcón @ralarconm]

In the fourth part of our Codeq NLP API Tutorial we describe a tool to detect abusive and harmful content from texts:

#NLP #DeepLearning #MachineLearning #AffectiveComputing

https://t.co/QYacLVXEBt

[Rodrigo Alarcón @ralarconm]

We just published the third part of our Codeq NLP API Tutorials: Semantic features
https://t.co/pHoyouxXJl

#nlp #machinelearning #deeplearning

[Rodrigo Alarcón @ralarconm]

I just published Codeq NLP API Tutorial. Part 2: Linguistic features. https://t.co/UmlxCT5kuS

[Codeq @codeqco]

Codeq just published the first of a series of posts showcasing how to call our NLP API to analyze your own texts: "Part 1. Getting started and making requests"

https://t.co/lVY3DMk9Lv

[Rodrigo Alarcón @ralarconm]

We started a series of posts to showcase different examples on how to call our NLP API to analyze your own texts:

https://t.co/ws9MfgJGRZ

[Rodrigo Alarcón @ralarconm]

Exploring CORD-19 with Codeq NLP API and Semantic Roles @streamlit

https://t.co/gBrqsSmeUP

#NLP #MachineLearning #Python #COVID19 #semantics

[Rodrigo Alarcón @ralarconm]

I just published Exploring CORD-19 with Codeq NLP API and Semantic Roles https://t.co/J5AVtz3eGe

[Rodrigo Alarcón @ralarconm]

I just published On the Importance of Natural Language Annotation https://t.co/qYUg4Tq8uN

[Lebanese Tech @LebaneseTech]

🌟 Codeq Natural Language Processing API - State of the art text understanding for developers 🌟

Don't be shy now, go check it out 👉 https://t.co/pBp5KNR7Bn

by @russ_sm, @paulochinho, @ralarconm and @waggSay | via @ProductHunt

#Developer_Tools #Web_App #Productivity #APIs

[Rodrigo Alarcón @ralarconm]

I just published “Natural Language Processing in Production at Courier” https://t.co/Ij2Rc5B6W1

[Rodrigo Alarcón @ralarconm]

I just published “Extracting Tasks from Emails: first challenges” https://t.co/QGj32MSuxe

[Rodrigo Alarcón @ralarconm]

Courier: Your inbox emojified and summarized https://t.co/zCIjyq6QEP vía @BetaList

[Ryan Hoover @rrhoover]

Solid value prop: "Read less email"

https://t.co/h9FT9gRfHR 💌