<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">[size= 12pt; font-family: Roboto,sans-serif; color: #0a0a0a; background-color: #ffffff; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Many businesses are using an [/size][size= 12pt; font-family: Roboto,sans-serif; color: #1155cc; background-color: #ffffff; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap]AI sentiment analysis platform[/size][size= 12pt; font-family: Roboto,sans-serif; color: #0a0a0a; background-color: #ffffff; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap] to understand their customers' emotions. But do you know how it works and analyzes human sentiment? Let&rsquo;s explore. [/size]

<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">[size= 12pt; font-family: Roboto,sans-serif; color: #0a0a0a; background-color: #ffffff; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]At first, it collects data from multiple platforms such as social media(LinkedIn, Meta, Instagram, X), review sites, forums, customer support chat, emails, website forms, CRM records, and surveys. Then it cleans the data by removing spaces, symbols, numbers, and spelling mistakes to convert it to a structured format. [/size]



<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">[size= 12pt; font-family: Roboto,sans-serif; color: #0a0a0a; background-color: #ffffff; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Then it uses NLP to understand the context. Using ML and DL models, it classifies human emotions, understands sentiments, and their intent. Then the platforms show this data on the dashboard, which can be reviewed by businesses to understand human sentiment. The platform can also send alerts when sentiment drops or when issues arise.[/size]