Opinion Mining – How does opinion mining work
Opinion Mining
Opinion mining is a task of extracting views of the people on a specific event, object, entity, or anything from a large amount of data present on the social networking site such as twitter, facebook, LinkedIn, Instagram, Reddit, quora or any other site.
Due to advancements in technology, internet, and social networking sites, a huge amount of information is present in social networking sites.
There are more than 500 million tweets per day, 2.8 million Reddit comments per day, about 70% of people use facebook, huge number of people write daily blogs and much more.
People continuously post their views on social networking sites. These views are present in the form of tweets, blogs, facebook data, and link din data.
This data may be useful to get an insight into a specific entity, event or anything else.
But before using the available data it is needed to extract the data from the social networking sites, and clean the extracted data to make it rich for use.
Opinion mining is a very new stream and in an infant stage. Various techniques are used to find the opinion of the people such as deep learning.
What does opinion mining mean
Opinion mining means extracting views of people from the huge and cluttered data sets present in the internet or social networking sites in order to find the perspective of the people for a particular thing, event or entity.
Is the Sentiment analysis part of data mining
Yes, sentiment analysis is a part of data mining. Data mining includes mining of different kinds of data from the huge and cluttered data sets using data mining techniques.
Using sentiment analysis technique sentiments of the people are analyzed from the mined data sets.
What is a sentiment analysis example
There are various examples of sentiment analysis such as you can find the sentiments of the people about an event like Ayodhya verdict, election, sports, education, college, university, websites, movies and many more.
How many types of sentiments are there
There are various kinds of sentiments. The broad categories of sentiments are positive, negative and neutral sentiments about a certain entity.
How many types of sentiments are there?
Sentiment in a text found in various blogs and social media sites may be positive, negative or neutral. These sentiments can be further categorized in advanced categories such as sad sentiments, depressive, pleasing, boring, confusing, happy, satisfactory, and annoying sentiments, etc.
What is sentiment analysis in natural language processing
Sentiment analysis is a sub field of natural language processing which allows identifying and extracting sentiments of the people through their tweets, blogs, chat, social media forums, and their other information present on the internet.
How does opinion mining work
Opinion mining work in various ways such as it can help you to take an important decision in various fields.
Through opinion mining, you can decide which website is good for online shopping.
You can decide whether to watch a particular movie or not. Which government is good for the progress of the country? Which channel is good for the news etc?
What does data mining mean
Data mining means to mine relevant information from the huge big size data present on the internet and social networking site.
Is Sentiment analysis supervised or unsupervised
Sentiment analysis can be supervised as well as unsupervised based on the technique used to mine the sentiments.
Is sentiment positive or negative
Sentiments can either be positive or negative. In addition to this sentiments can be neutral too.
What does sentiment analysis do
Sentiment analysis helps in mining subjective opinions of the public to know about the social branding of their project, product, and brand, etc.
You can get an insight into anything via sentiment analysis. There is a huge application of sentiment analysis.
What is the Difference between opinion mining and sentiment analysis
Opinion mining and sentiment analysis
Opinion Mining and Sentiment Analysis are quite misunderstood terms by the researchers. These two terms are quite similar but some differences also.
Similarities between opinion mining and sentiment analysis
In the both the domains, opinion mining and sentiment analysis, public mood or public opinion is extracted from the reviews, comments, blogs, tweets, etc. present on the social media sites and internet. But these two terms have difference also.
Differences between opinion mining and sentiment analysis
In the case of opinion mining only public mood or public opinion is mined, but sentiment analysis is a more deeper domain.
In the sentiment analysis emotions of public hidden their messages are also find out such as sad emotion, happiness, stress, depression, anger, anxiety, joy, etc.