Sentiment analysis is a powerful tool that uses NLP to uncover the underlying emotions (🥰, 😡, 😐) within text such as customer reviews. Learn how to use ML.GENERATE_TEXT function to directly utilize LLMs from Vertex AI within your SQL queries to analyze text in a BigQuery table → https://goo.gle/4cH1vvC
Mana Sidhu
1w
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But do you have one for oogabooga wallstreetbets language so I can get rich and eat tendies?
I'll keep this in mind
OrgLeap
1w
Interesting!
Вася Стынга
1w
@vasasrtynga8
Very informative
Carlos Ortiz
1w
POST OF WEEK
Gen AI apps developer
1wApps-Script in a Google Sheet: function Do_Get_Emotions(nlpText) { doEmotionNlp = Get('doEmotionNlp') if (!doEmotionNlp) { return; } emotionsModel = Get('EmotionsModel') if (emotionsModel) { SelectGPTApi(), model = 'gpt-4o' } else { SelectTogetherApi(), model = 'meta-llama/Llama-3-70b-chat-hf' } //START PROMPT ENG emotions = 'Emotions are complex psychological and physiological states involving personal feelings, physical reactions, and behavioral expressions, triggered by specific stimuli or situations. They play a crucial role in decision-making and social interactions, influenced by how we perceive and interpret events.' prompt = 'Perform a Sentiment Analysis and extract any emotions found in this text: ' + nlpText + '. Ensure that each extracted emotion conforms to this definition of an emotion: ' + emotions + '\nAnalise the PROMPT and RESPONSE seperately. Categorise these sentiments and emotions as Positive, Neutral or Negative. Present the results without additional information by PROMPT and RESPONSE as a list with each item on a new line seperated by a comma and space showing Category, the Emotion name and Sentiment and assign a value to the Sentiment with 2 decimal places. //END PROMPT ENG