What is sentiment analysis? Using NLP and ML to extract meaning The group analyzes more than 50 million English-language tweets every single day, about a tenth of Twitter’s total traffic, to calculate a daily happiness store. BERT is the most accurate of the four libraries discussed in this post, but it is also the most … Read more
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM Scientific Reports This function returns the scores as a dictionary, So after a few other lines of code, we can create a dataframe with each of the scores in individual columns. Again, you can check out the entire code for yourself on … Read more
Generative AI hype is ending and now the technology might actually become useful Students should be taught to approach the information generated by the AI chatbot with a discerning mindset, questioning and verifying its accuracy through independent research and analysis. This empowers them to develop critical thinking skills and avoid mindlessly accepting information provided by … Read more
Symbolic vs Subsymbolic AI Paradigms for AI Explainability by Orhan G. Yalçın In the past decade, thanks to the large availability of data and processing power, deep learning has gained popularity and has pushed past symbolic AI systems. There have been several efforts to create complicated symbolic AI systems that encompass the multitudes of rules … Read more
Voice of the Customer: Definition & Program Methodologies 2023 CRMs manage the relationship that a brand has with its customers throughout the entire customer lifetime. They start with the sales funnel and follow the customer from inquiry to ChatGPT App their first order and repeated orders. Customer-to-chatbot interactions will stream directly into Sprout’s Smart Inbox, … Read more