ABOUT US

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

Sentiment Analysis

It is a long established fact that a reader will be distracted by the readable content of a page when .

img
Fine-grained Analysis

All types of consulting service It is a long established fact .

  • Positive
  • Neutral
  • Negative
img
Emotion detection

All types of consulting service It is a long established fact .

  • Positive
  • Neutral
  • Negative
img
Multilingual analysis

All types of consulting service It is a long established fact .

  • Positive
  • Neutral
  • Negative
Xamin

How it's works

img
img
img
Text

It is a long established fact that a fre ader will be distracted by the .

img
img
img
ML Algorithms

It is a long established fact that a fre ader will be distracted by the .

img
img
img
Classified Model

It is a long established fact that a fre ader will be distracted by the .

img
img
Prediction

It is a long established fact that a fre ader will be distracted by the .