Gabi DobocanforTelepatblog.telepat.io·9 hours agoAugmenting Sentiment Analysis with Code-Mixed Data Using AIIntroduction In multilingual societies, it's common for people to blend languages when they speak or write. This phenomenon, known as code-mixing, poses a challenge for natural language processing (NLP), as there often isn't enough data to accurately...DiscussCode-Mixing
Gabi DobocanforTelepatblog.telepat.io·Nov 17, 2024Unraveling Sentiment Analysis with the IFDHN Model: A Game-Changer for Arabic Sentiment DetectionArxiv: https://aclanthology.org/2024.conll-1.39/ PDF: https://aclanthology.org/2024.conll-1.39.pdf Authors: Yuke Mei, Nan Yan, Shuhao Guan, Cheng Xu, Yang Fang Published: 2024-11-15 Sentiment analysis has emerged as a pivotal task, enabling comp...DiscussArabic Language
Laxitalaxita06.hashnode.dev·Nov 12, 2024From Data to Business Success: Role of AI in Sentiment AnalysisIn today’s data-driven world, understanding customer sentiment is crucial for business success. The ability to analyze consumer opinions, emotions, and feedback at scale gives companies a significant edge in tailoring their strategies and improving c...DiscussSentiment analysis
WeskillforWeskillweskill.hashnode.dev·Oct 23, 2024Machine Learning for Natural Language ProcessingIntroduction Natural Language Processing (NLP) is a fascinating intersection of computer science, artificial intelligence, and linguistics that allows machines to understand, interpret, and respond to human language. As technology continues to advanc...Discusstext classification
Aakashi Jaiswalaakashi.hashnode.dev·Sep 26, 2024Empathy Through AIIn this blog, I am going to share some updates of my bot, that I am building. This bot is an Empathetic Mental support bot, which will become your AI companion you share anything with it and can express how you're feeling and many more!! Today, I wil...Discuss·2 likesArtificial Intelligence
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 19, 2024Tokenization with NLTK: A Deep Dive into the Fundamentals of Text ProcessingNatural Language Processing (NLP) has become an essential aspect of modern technology, powering everything from chatbots to sentiment analysis systems, voice assistants, and search engines. One of the foundational steps in NLP is tokenization, which ...Discuss·10 likes·105 readsMachine LearningPython
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 18, 2024How to Use Python for Natural Language Processing (NLP)Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to human language. NLP has applications in various fields, such as chatbots, sentiment analysis, machine...Discuss·10 likesMachine LearningPython
GreenFluxblog.greenflux.us·Sep 17, 2024Text Analysis WITHOUT AI: Lexical Density, String Similarity, Readability & Other MetricsLexical density measures word frequency within text. That sentence had a lexical density of 100%, but it's a little hard to understand. Let's unpack it. Lexical density, in the context of text analysis, is a metric that quantifies the proportion of...Discuss·10 likes·127 readslinguistics
Wilame Limawilame.hashnode.dev·Sep 10, 2024Weaving Fashion Trends through Topic Modeling and Social Media InsightsSocial media isn’t just about sharing updates or following influencers—it’s a constant flow of conversations reflecting what’s happening worldwide. Every day, platforms like Twitter and Instagram become the battlegrounds where trends, opinions, and i...DiscussNLPLogLDA
Phrase Trade Protocolblogs.phrase.trade·Aug 29, 2024Exploring the Unique Phrase Test on Phrase.TradeAt Phrase.Trade, we're building a revolutionary protocol where every NFT is tied to a unique phrase. However, ensuring that each phrase is truly unique goes beyond just checking the words—it's about capturing the essence, the sentiments behind those ...DiscussPhraseTrade
