Computer Science Research (Topics for Thesis and Dissertation)

Computer Science Research (Topics for Thesis and Dissertation)

Computer Science research on Opinion Mining, Sentiment Analysis…

Computer Science Research – Recently, researchers focusing on  data mining, intention mining, sentiment analysis or opinion mining and more and more similar fields to know the mood of the public on a particular event, product, and website, etc.

This is a growing field and need more attention of the researchers to dig it more in order to develop better techniques to mine sentiments of the public on a particular topic.

Some very interesting areas of research related to sentiment analysis or opinion mining are discussed here to do more research in the domain.

 

Computer science research – Optimized Sentiment Analysis Model to Improve Customer Experience on a Website

The aim of the study will be to analyze online reviews, feedback, comments, tweets and blogs on the customer reviews related to a website and find the experiences of the customer in order to improve the website, product and associated services.

Admin of the website can also improve the website in order to improve the customer feedback.

 

Computer Science Research – Novel Sentiment Analysis Mechanism to reduce employee turnover

The study will focus to collect the employee sentiments using some means like some inventory or questionnaire and analyze their sentiments to reduce the employees turnover.

 

Optimized Sentiment Analysis Model to build a better product

The study will focus to analyze the sentiments of the users, get their feedback and then analyze the feedback to improve the product.

Research papers on sentiment analysis, read…

 

 

Novel Sentiment Analysis Model for Social Media Monitoring

The study will collect the comments, tweets, blogs, and forums and monitor them about the reviews of the users to their opinion on a certain event, idea or anything.

 

Improved Sentiment Analysis Model for Customer Experience Management

The study will collect the sentiments of the customer of anything, any website, any product, etc. to manage the experience of the customer particular to increase the customer.

 

Computer Science Research – Optimized Sentiment Analysis Model to Manage Voice of Customer

 

Improved Sentiment Analysis Model for People Analytics

People area wise, social media wise, age or gender wise can be analyzed about any domain using sentiment analysis model.

 

Optimized sentiment analysis modeling using machine learning and swarm intelligence algorithm

Improved sentiment analysis modeling technique can be developed using machine learning and swam intelligence technique in order to analyse the sentiments of the public on a certain movement.

 

Design and Development of intelligent technique for sentiment analysis and comparison with existing technique

The study will focus to analyze present sentiment analysis techniques and development a new better technique. Also, compare the new developed technique with the existing techniques.

 

Grammar Rule Based Sentiment Analysis Modeling for Hindi Tweets Classification

The study will develop some rules and grammar to study other language tweets such as Hindi language tweets.

This study can be done on various dimensions such as Hindi terms that are used in an English language tweets can analysed. And complete Hindi language tweets can also be analysed to know the mood of the public.

 

Optimized Sentiment Analysis Technique to Analyze Social Media Content

An improved sentiment analysis technique will be developed to analyze the contents present on various social media sites such as Face book, Twitter, Link din, etc .

 

Computer Science Research – Sentiment analysis to forecast Changing in the Stock

Public sentiments can be analysed and studied to predict the change in the Stock or any other domain of interest.

 

Multilingual Sentiment Analysis Modeling for Social Media Reviews

The aim of the study may be to extract, normalize and clean the reviews extracted from social media such as blogs, face book, forums, and website comments, etc. and perform sentiment analysis on the cleaned data.

This data may contain the multilingual terms and statements. 

 

Analyzing Twitter Data To Find Identical Wavelength Communities

The aim of the study may be to identify the similar groups on variety of domains such as same communities related to politics. To find the same groups of people who want to purchase from Amazon, Flip cart, Mintra, etc.

 

Analyzing Face Book Comments To Find Same Wavelength Communities

The aim of the study may be to find the similar groups of people on the face groups in variety of groups.

 

Sentiments Analysis of Online Data With Respect To Changes In Times And Locations

The study will research the online data present on tweeter, face book, blogs, forums, etc. to identify the change in opinions of the data of the people according to the time, location, country, education, etc.

 

Sentiments Analysis of Online Data With Respect To Changes In Education

The study will analysis the online data to mine the sentiments of the people that change according to the education, gender and age.

 

Computer Science Research – Sentiment analysis to forecast the trends of the market

The study will focus to analyze the online data and predict the trends of the market.

Sentiment analysis to forecast the trends of the market stocks

The study will focus to analyze the online data and predict the trends of the stock.

 

Computer Science Research – Sentiment analysis to forecast the trends of the Movies

The study will focus to analyze the online data and predict the trends of the movies.

 

Sentiment analysis to identify the impact of the movies on the juvenile delinquency

This study will study the reviews, comments and online data present on the social media to know the impact of movies on juvenile delinquency

 

Improved data mining techniques for detection and prevention of online financial frauds

This research will study the cause of financial frauds using data mining techniques.

 

Improved data mining techniques for detection and prevention of online shopping frauds

This research will focus the frauds related to online shopping.

 

Feature Based Sentiment Analysis of Movies Reviews Using Text Summarization

Feature based referred to different aspects of sentiments expressed in the statements present on the social media about the movies reviews.

All such data is extracted, cleaned and processed and summary is prepared for the related users.

 

Improved Opinion mining modeling through Online data present on social Medias

Study will extract the online data present on social sites and internet and find the opinion of the public on any particular event.

 

Computer Science Research – Opinion mining technique to enhance accuracy in online learning system

Collect the views of the public and identify their views to enhance accuracy in online learning system.