Latest thesis research topics and ideas in Text Mining
Text mining is the process of collecting useful information from large volumes of data in the form of text. The data generated in the form of articles, emails, messages, comments can be used for text mining. The text can be either in a structured, semi-structured or unstructured format.
- Structured data: This data is stored in tabular format with numerous rows and
- Unstructured data: This data without any data format. It can include text from social media, product reviews, or rich media formats like video and audio files.
- Semi-structured data: This type of data can include XML, HTML or JSON
The majority of the user data is present in an unstructured format. This makes it challenging and expensive for organizations to analyze that data manually. Therefore, text mining is an important practice in organizations. It helps companies gain better insights into the data available and make better business decisions.
The process of extracting hidden information which is useful in nature from the large data set chunks is called text mining. Many M.Tech students face difficulty in deciding the latest thesis research topics in text mining. If you are among them, then don’t feel stressed, we are here to help you in deciding the latest thesis topics in text mining.
What are the Techniques of Text Mining?
- Information Extraction: Information exchange refers to the process of extracting meaningful information from huge amounts of data. Information extraction is performed by converting unstructured data into structured data such as entities, attributes and entity relationships.
- Natural Language Processing: Natural language processing (NLP) is concerned with human language processing. It is used to make computers understand and analyze large amounts of human language data both in written and verbal forms. It can be used for speech recognition, i.e., determine the textual representation of the speech.NLP can convert written text into spoken words. Sentiment Analysis is also a part of NLP. It is used to determine whether a given piece of text is positive, negative or neutral. The authors of different texts can also be differentiated by Natural language processing based on their writing style.
- Information Retrieval: According to Wikipedia, Information retrieval (IR) is the process of obtaining information system resources that are relevant to an information need from a collection of those resources. It deals with retrieving useful data from the data that is stored in our systems. Google and Yahoo search engines are the two IR systems. These systems make use of algorithms to track and identify the user
- Data Mining: Data mining is the process of identifying patterns and extracting useful information from big data sets. This process can be applied to both structured and unstructured data. Data mining tools can predict behaviours as well as future trends that are too costly to be done manually. Therefore it helps businesses make better
What are the uses of Text Mining?
Text mining can be applied in areas like businesses, research, healthcare and governments.
The following are some of the common applications of text mining.
- Risk management: To make businesses and organizations avoid the failures caused by risk management, text mining tools can help businesses to stay updated with all the current trends by monitoring shifts in sentiments and current trends in the
- Business Intelligence: Apart from providing useful insights into customer behaviour and trends, text mining techniques also help companies to identify their competition including their strengths and weaknesses.
- Social Media Analysis: Customers express their views on Social Media platforms in the form of text generally through comment sections. Customers spend a huge amount of time browsing through public reviews of a product and the brand’s social media. Therefore text mining tools can help identify the opinions of the people interacting with online content and also help them identify their target audience.
- Customer Service: Text mining tools help companies enhance their customer service Text mining on chatbots, social media reviews, customer feedback, surveys, online reviews can help companies understand their customer’s requirements efficiently.
- Healthcare and Research: Health information systems collect large amounts of health Text mining techniques have been increasingly valuable to researchers in the biomedical field because it can help improve healthcare services. For example, it can be used to analyze the electronic medical records from the emergency department of a hospital.
What is the future of Text Mining?
Text mining has impacted many industries and is gaining popularity. Text mining is being expanded to multiple languages. Its use is likely to increase in support of scientific discovery and the stock market.
latest thesis research topics and ideas in text mining
PhD research topics in text mining are a centre of a staggering measure of imaginative thoughts for PhD/MS researchers. We assist you with chipping away at each side of the exploration. It winds up in promising discoveries and execution. Following are some latest thesis research topics and ideas in text mining.
- Opinion and also infrequent item mining
- Tools for profiling digital games
- Social sentiment analysis
- Mining from complex lexical structures
- Secure and also in privacy preservation
- Also in Information retrieval from cloud/fog
- Ontology and also in corpus-based mining
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