Opinion Mining Examples and Applications Arias
Opinion Mining Examples – Opinion Mining is a recent area of research. There are various areas where we see opinion mining examples. It has vast application areas.
It can be used in all that areas where you want to find the opinion of the public. The most common Opinion Mining Examples are discussed below-
Opinion Mining Examples
- Opinion Mining to know Popularity of an event or activity
To know the popularity of an, event, program or activity you need the opinion of the public.
For example if you want to organize some program in your area which was conducted in past days also, you can collect the opinion of the public about the past program area to make proper planning of the program you are going to organize in the future.
You can collect opinion of the public from their online data also such as blogs, forums, websites, tweets, comments, etc. to know the popularity of an event.
- Opinion Mining to know Same wavelength communities
You can find out similar communities or groups about any domain through the opinion mining of the public.
- Opinion Mining in Tourism Industry
This is also a growing industry today. Before doing planning to go on a trip you do huge research to know the best place to visit. People write their reviews and publish online. You can collect all that reviews and can do proper planning before going on your trip.
- Opinion Mining for Presidential Elections
For presidential election various companies collect the opinion of the public to know which party is going to win.
People give their views in the form of comment, images, tweets and feedback before the presidential elections. You can collect all those from the social media sites and can forecast the results.
- Opinion Mining for Insurance Policy Research
Insurance policy research can be done on both the ends from the insurance company point of view and customer point of view.
Insurance companies can launch better policies for the public by knowing public opinion about their policies.
People also can get better policies after getting public opinions about the policies.
- Reviews for Product Marketing
Company can collect the reviews about their product to improve the quality of products and also to compete the competitors.
Company can better plan their marketing strategies to improve the sale after getting public opinion about their product.
- Reviews on Online education
Due to advancement in the technology and internet online education is going to common more and more.
Before getting enroll in the educational program you can get the opinion of the opinion of the students who has already passed out some online course.
Institute and universities who are providing online courses can also collect the public reviews and feed backs to better design online courses.
- Opinion mining for Segmenting people about certain issue
Opinion mining is used to segment the people about any issues for instance political issues, religious issues, issues related to crimes, education, entertainment, etc.
- Opinion Mining for Future forecasting of fashion
Nowadays, movies play an important role in fashion industry. People copy style and fashion from the popular movies.
Through the data present in the social media about the movies and fashion companies can forecast about the coming style and fashion.
- Opinion Mining of Website Reviews to improve customer satisfaction
Website can be improved and better design after collecting the reviews about the website. If it is an eCommerce website then people can also extract reviews and feedback before doing any purchase from the website to know which website is better and reliable for online shopping.
- Opinion Mining of Movies Reviews
Public see the movies and give their feedback about the movies through the tweets, comments, blogs and forums. Before plan to view the movie you can get public opinion and then plan to watch the movie.
- Opinion Mining of public about present government through online social media data
You can collect the views of the public about the present government working style. You can judge the mood of the public through their mood.
- Opinion Mining to reduce employee turnover
If employee turnover is greater in a certain organization company can collect the feedback of the employees and understand the cause of the turnover and can design future strategies to reduce employee turnover.
- Opinion Mining of Multilingual data of any domain of interest
Opinion mining can be done on multilingual data too about any domain of interest such you can collect online tweets and comments which are published in Hindi or any other language to know the opinion of the public of any other language also.
- Opinion Mining to improve education system online and offline both
Online and offline education can be improved through the opinion mining. Some educational modules are more careers oriented and some not. After extracting the opinion of the students’ better course can be designed.
- Opinion Mining of market data for future investments decisions
If you want to do some investment for your future you can mine the public opinion about various policies and programs and can take better decisions.
- Opinion Mining for career selection
Before taking decisions about your future and career you can collect the reviews of the public available on the online repositories and better decisions you can make.
- Opinion Mining to find the impact of movie on juvenile delinquency
Movies have a great role in destroying the society and making the society. How much youth is influenced from the movies can be accessed from the reviews of movies present online.
- Opinion Mining to know the impact of movies on present society
Moreover, the impact of movies on the public can be judged through the tweets, reviews and comment published by the people about the movies. Sometimes criminals and antisocial people learn so many ideas from the movies and apply in the real life.
Therefore there are various Opinion Mining examples. Where we need decision making based on public mood and public sentiments we require opinion mining in the related domain.