What is Sentiment Analysis?
Sentiment analysis, also known as opinion mining, is a process of using natural language processing, text analysis, and computational linguistics to determine the subjective information present in a piece of text, such as social media posts, reviews, articles, and other written content. The aim of sentiment analysis is to identify and classify the sentiment, emotion, or opinion expressed in the text as positive, negative, or neutral. The process of sentiment analysis involves analyzing the words, phrases, and other linguistic features present in the text to determine the overall sentiment or tone of the content. Sentiment analysis has many practical applications, such as market research, customer feedback analysis, brand monitoring, and social media analysis. By analyzing the sentiment of customers, companies can better understand their needs and preferences and make informed decisions about their products or services.
- Polarity: if the speaker express a positive or negative opinion,
- Subject: the thing that is being talked about
- Opinion holder: the person, or entity that expresses the opinion.
Sentiment Analysis
It is a long established fact that a reader will be distracted by the readable content of a page when .
Fine-grained Analysis
All types of consulting service It is a long established fact .
- Positive
- Neutral
- Negative
Emotion detection
All types of consulting service It is a long established fact .
- Positive
- Neutral
- Negative
Multilingual analysis
All types of consulting service It is a long established fact .
- Positive
- Neutral
- Negative
How it's works
Text
It is a long established fact that a fre ader will be distracted by the .
ML Algorithms
It is a long established fact that a fre ader will be distracted by the .
Classified Model
It is a long established fact that a fre ader will be distracted by the .
Prediction
It is a long established fact that a fre ader will be distracted by the .