What is sentiment analysis
                     
Introduction to Sentiment Analysis
• Sentiment analysis is the process of identifying and 
categorizing opinions expressed in a piece of text as positive, 
negative, or neutral. It is also known as opinion mining or 
emotion AI.
• The goal of opinion mining is to understand the attitudes and 
emotions of people towards a particular topic, product, brand, 
or service. It can be used to analyze customer feedback, social 
media posts, reviews, surveys, and other forms of user-
generated content.
• Sentiment analysis can provide valuable insights for 
businesses, governments, and organizations. By analyzing the 
sentiment of their customers or citizens, they can make better 
decisions, improve their products and services, and enhance 
their reputation.
Types of Sentiment Analysis
Sentiment analysis is the process of extracting and analyzing opinions, emotions, and attitudes expressed in text. There are 
different types of sentiment analysis that can be used depending on the specific use case. Some of the common types of 
sentiment analysis include:
1. Fine-Grained : Fine-grained sentiment analysis goes beyond simple good or bad 
categorizations. It employs a 0 to 100 scale, similar to a 5-star rating system, to precisely 
gauge emotions. This nuanced approach helps us gain a deeper understanding of feelings.
2. Aspect-Based Sentiment Analysis:  Aspect-based sentiment analysis, on the other hand, 
delves into specific components of a product or service, like a laptop. It analyzes aspects such 
as sound quality, graphics, keyboard, and touchpad individually. By connecting people's words 
to these specific parts, we uncover their sentiments about each aspect. 
3. Intent-Based Analysis: This approach delves into understanding people's intentions and 
plans. In marketing, it's a valuable tool for gauging where customers are in their decision-
making process. For instance, discussing discounts, deals, or reviews may indicate an interest 
in making a purchase.
4. Emotional Detection Analysis: Going beyond simple polarity, emotional detection dives into 
the nuanced spectrum of feelings. It seeks to comprehend deeper emotions such as happiness, 
anger, sadness, or regret based on the words people use. This provides a richer understanding 
of people's emotional states.



Sentiment Analysis Dashboard
• The sentiment analysis dashboard provides a 
comprehensive view of the sentiment of your brand, 
product, or service across various channels such as social 
media, customer reviews, and feedback forms. 
• The customer sentiment dashboard is designed to help 
you track and analyze the sentiment of your customers, 
identify trends, and take corrective action to improve 
customer satisfaction.