Nlp In Finance Market Growth, Trends, and Forecast to 2036 www.marketresearchfuture.com/reports/nlp-...
#NLPFinance #AIinFinance #NaturalLanguageProcessing #FintechAI #MachineLearning #DataAnalytics #FinancialTech #Innovation

Awakari App

Natural Language Processing: A Beginner’s Guide from Someone Who’s Learning It Too “How does ChatGPT actually understand what I’m saying?” — That question set me on a two-month deep div...

#machine-learning #ai #data-science #llm #naturallanguageprocessing

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Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study Background: Extracting accurate medication information from Thai hospital records presents challenges due to the narrative style of medical notes, which often combine Thai and English terminology. Named entity recognition (NER) serves as the foundational step for advanced clinical information extraction (IE) tasks, including medical concept normalization and relation extraction. This study aimed to establish a robust NER framework to address these difficulties by leveraging ontology-based annotation and pretrained transformer models. Objective: The primary objective of this study was to evaluate the performance of 5 fine-tuned pretrained transformer models—BioClinicalBERT, ClinicalBERT, PubMedBERT, MultilingualBERT, and ThaiBERT—based on Bidirectional Encoder Representations from Transformers (BERT) in extracting structured medication information from unstructured Thai hospital discharge summaries. Methods: Ninety discharge summaries were collected from Maharaj Nakhon Chiang Mai Hospital. These documents were annotated by physicians following the annotation guidelines based on international standards, including Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) and Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR). The dataset was divided into fine-tuning (70 records, 78%, 2030 annotated spans), validation (10 records, 11%, 277 annotated spans), and testing sets (10 records, 11%, 358 annotated spans). The 5 transformer models were fine-tuned and evaluated using this annotated data to recognize and classify key medication entities (substance, route of administration, unit of measure, time patterns, and unit of presentation). Results: We found that all models had good NER performance metrics in both the validation and test datasets. Regarding test performance, ClinicalBERT achieved the highest exact -score at 0.973, compared with 0.968 for BioClinicalBERT, 0.925 for PubMedBERT, 0.931 for MultilingualBERT, and 0.969 for ThaiBERT. All models showed strength in accurately identifying “Substance” and “Dosage” entities, whereas “Unit of Measure” proved to be the most challenging entity type due to implicit information in the source text for all models. Conclusions: The findings suggest that ontology-based medication IE using transformer-based models holds promise for enhancing data standardization and interoperability within the Thai health care system. Future work will need to leverage the granular annotations preserved in the dataset to develop medical concept normalization and relation extraction models to complete the medical IE system.

JMIR Formative Res: Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study #Healthcare #NaturalLanguageProcessing #MachineLearning #MedicalRecords #ClinicalResearch

Angreifer umgehen NLP-basierte E-Mail-Erkennung

#Cybersecurity #Cybersicherheit #EMail KnowBe4 #NaturalLanguageProcessing #Phishing #SecureEMailGateway

netzpalaver.de/2026/...

Natural Language Processing = working with human language
Machine Learning = learning from data to improve performance
Algorithms = the rules that guide the process

Watch the full tutorial 👉 youtu.be/q_Ff3J0-i0c

#NaturalLanguageProcessingSimplified #NaturalLanguageProcessing #NLPExplained

How I Used AI to Discover Content Ideas From Reddit Discussions - Article For U Unlock fresh content goldmines by leveraging AI to analyze Reddit discussions, boosting idea generation efficiency by 70% and tapping into real user conversations for authentic, trending topics.

How I Used AI to Discover Content Ideas From Reddit Discussions #AI #ArtificialIntelligence #contentcreation #contentdiscovery #contentideas #contentstrategy #DataMining #digitalmarketing #MachineLearning #naturallanguageprocessing #onlinediscussions #Reddit #socialmedia #textanalysis #usergenerated

Machine Learning is the technology that helps a system improve its performance by learning from data.
In Natural Language Processing, Machine Learning helps the system detect patterns in words, sentences, and documents.

#NLP #NaturalLanguageProcessing

Malgo Technologies Pvt Ltd on X: "I power smart assistants you talk to each day, understanding words in a human way. From translation to sentiment I see, decoding language intelligently. Guess my name!" / X I power smart assistants you talk to each day, understanding words in a human way. From translation to sentiment I see, decoding language intelligently. Guess my name!

Ever wonder how smart assistants understand you so well? From translating words to reading sentiment, AI powers smarter, more human-like conversations.

Vote and share your thoughts! 👇
x.com/malgotech/st...

#AI #NaturalLanguageProcessing #MachineLearning #VoiceAssistants #DigitalInnovation #AIPoll

Nlp In Finance Market Growth, Trends, and Forecast to 2036 www.marketresearchfuture.com/reports/nlp-...
#NLPinFinance #FinTechAI #NaturalLanguageProcessing #AIinFinance #FinancialTechnology #DataDrivenFinance

🚀 AI Tools and Their Real-World Applications
Artificial intelligence is no longer just a futuristic concept—it’s integrated into our daily lives.

#AI #MachineLearning #NaturalLanguageProcessing #AIForBusiness #FutureOfAI #Technology #AIApplications #GenerativeAI

Search has come a long way from simple keyword matching. Today it is about intent, context and meaning. With AI powered language understanding and strong, standards based taxonomies, content becomes truly findable. #NaturalLanguageProcessing #Taxonomy

Original post on medium.com

The NLP Pipeline: How Machines Actually Learn to Understand Language Imagine you hired a new employee who speaks no English. On their first day, you hand them a 10,000-page document and say “summ...

#artificial-intelligence #data-science #machine-learning #naturallanguageprocessing #python […]

Original post on medium.com

The Cartography of Meaning: How AI Maps the Invisible Space of Words Turning a token into a vector is the foundation of every AI system — from semantic search to agents. Here’s how distance...

#data-science #naturallanguageprocessing #embedding #artificial-intelligence #machine-learning

Origin […]

Original post on pub.towardsai.net

From Broken RNNs to ChatGPT: What My Own Research Taught Me About the LLM Revolution I ignored the transformer hype and built a better RNN instead. It taught me more about LLMs than any tutorial ev...

#artificial-intelligence #naturallanguageprocessing #machine-learning #data-science #research […]

Man... ChatGPT Is Nice I was skeptical about this thing until recently but my girl kept going on and on about how much she uses it for random stuff. I finally said OK I'll humor this robot for a couple minutes. ...

Man... ChatGPT Is Nice #ChatGPT #AI #MachineLearning #TechTrends #NaturalLanguageProcessing

Original post on medium.com

Optimizing Vector Search: Performance Tuning, Hybrid Search and Scaling Explained It’s 11:47 PM. You open Netflix, unsure of what to watch. Within seconds, a movie appears and somehow it feels ex...

#machine-learning #artificial-intelligence #software-engineering #naturallanguageprocessing […]

This study provides an integrated framework that combines natural language processing, deep learning, and safety engineering principles for fault diagnosis in energy storage systems.
doi.org/10.1016/j.xi...
#naturallanguageprocessing #convolutionalneuralnetwork #energystorage

Original post on medium.com

# Unlocking Semantic Search: A Beginner’s Guide with Elasticsearch In today’s digital age, finding information quickly and accurately is more critical than ever. However, traditional keyword se...

#machine-learning #naturallanguageprocessing #semantic-search #vector-search #elasticsearch […]

When we think about #NaturalLanguageProcessing, we often think about chatbots or language models. But one of its most powerful and underappreciated applications is in data collection for evidence-based #policymaking.

What are Conversational Interfaces and How Do They Work Learn what conversational interfaces are, how they work using NLP and AI, and why they’re transforming digital user experiences.

Learn what conversational interfaces are, how they work using NLP and AI, and why they’re transforming digital user experiences.

blog.applabx.com/what-are-con...

#ConversationalInterfaces #ConversationalAI #ConversationalUI #NaturalLanguageProcessing #NLP #AIChatbots #VoiceAssistants

What are Artificial-Intelligence-Generated Summaries & How Do They Work Discover what AI-generated summaries are, how they work, and how NLP and machine learning condense content into actionable insights.

Discover what AI-generated summaries are, how they work, and how NLP and machine learning condense content into actionable insights.

blog.applabx.com/what-are-art...

#AIGeneratedSummaries, #AISummarization, #ArtificialIntelligence, #NLP, #NaturalLanguageProcessing, #MachineLearning,

Turn health data into insights. 📊🩺
UBC Natural Language Processing to Improve Patient Care Micro-Certificate Program Information Session
🎥 Watch the info session: tinyurl.com/y9me3hkx
👉 Register: tinyurl.com/2uabdsma
#HealthcareAI #NLP #DataHealthUBC #NaturalLanguageProcessing

Курс Natural Language Processing & LLMs — новый сезон новый запуск курса начинается 10 февраля курс включает в себя все ба...

#анализ #текста #анализ #текстов #искусственный #интеллект #nlp #naturallanguageprocessing #natural #language #processing

Origin | Interest | Match

Awakari App

Uber Eats Food Discovery: A Deep Dive into ML-Powered Recommendations- Part 1 Executive Summary Continue reading on Medium »

#data-science #machine-learning #recommender-systems #naturallanguageprocessing #search-engines

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Challenges in Using #NaturalLanguageProcessing to Stratify Students by Narrative #Assessments in Undergraduate #MedEd: https://bit.ly/45pfRzO #MedSky #ArtificialIntelligence

LAOMUSIC ARTS 2026
presents

I just finished the learning path “Develop Your Skills with Large Language Models”, 9 Courses, 11hrs 20min 54secs!

Check it out:

www.linkedin.com/learning/pat...

#laomusicarts #ai #generativeai #largelanguagemodels #naturallanguageprocessing #deeplearning

LAOMUSIC ARTS 2026
presents

I just finished the course “Applied AI: Building NLP Apps with Hugging Face Transformers” by Kumaran Ponnambalam!

Check it out:

www.linkedin.com/learning/app...

#laomusicarts #ai #naturallanguageprocessing #huggingfaceproducts #appliedmachinelearning

Original post on medium.com

Cyberbullying Severity Detection Using Transformer-Based NLP: From Classical ML to BERT, Ensembles… Cyberbullying is no longer a marginal online issue — it is a systemic digital safety prob...

#naturallanguageprocessing #cybersecurity #artificial-intelligence #transformers #machine-learning […]