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  • IABAC®  Global Certification
  • 3-Month Course
  • 5 Capstone & 1 Client Projects
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

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Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 5 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

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The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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Why DataMites Infographic


  • Introduction to Text Mining concepts
  • Natural Language Content Analysis
  • Word Association and Mining
  • Text Representation
  • Syntagmatic Relation Discovery
  • Topic Mining and Analysis
  • Probabilistic Topic Models
  • Discriminative Classifier
  • Text Categorization: Evaluation
  • Opinion Mining and Sentiment Analysis
  • Positive and Negative Word Cloud
  • Text based prediction
  • Contextual Text Mining
  • Live Analysis of political views of citizen with social media content
  • Predicting Electorial outcomes with twitter, youtube comments with sentiment analysis
  • Hands on coding on real time data





In today's business, every feedback or comment from each and every customer is of the highest importance than ever before. Given the impact of social networks, every piece of text about a product or an organization is directly related to the business. It is estimated that about 70% of this data is unstructured in social networks such as Facebook, youtube, etc., and mostly in text format.

This course focuses on the collection of Text mining techniques to analyze unstructured text data to transform them into insights for business decision making. The topics cover preprocessing the text data, analyzing with various text mining techniques, visualizing with a real-world case study.


In today's business, every feedback or comments from each and every customer is of highest important than ever before. Given the impact of social networks, every piece of text about a product or an organisation is directly related to the business. It is estimated that about 70% of this data is unstructured in social networks such as facebook, youtube etc., and mostly in text format.

This courses focusing on collection of Text mining techniques to analysis unstructured text data to transform them to insights for business decision making. The topics cover preprocessing the text data, analyzing with various text mining techniques, visualizing with real-world case study.

After successful completion of this “Text Mining” course, you should have acquired a better knowledge on

  • Text Mining introduction, Sentiment Analysis with R and Positive and Negative Word Cloud.
  • Also would have gained knowledge on Advanced regression using R language and the theory behind it.
  • Recommendation engine and the theory lying underneath is also touched upon.
  • Also would have gained knowledge on Advanced regression using R language and the theory behind it.

This course doesn't have mandatory prerequisites. Basic programming knowledge is recommended.

Text Mining is one of the areas of Data Science with wide business applications. This course will get you ready for Data Analyst and related jobs in the market.

Data analysis of Business text data requires an important factor, that is understanding of natural language text. Since this is not possible with computers, you need effective statistical approaches along with computer language to attain potential information. Hence, Text Mining is considered as the next big thing in the Business world. With limited Text Mining experts around, learning this “Text Mining” course will improve your efficiency as a business analyst and bring a definite uplift in your career.

Freshers, IT Professionals, Business analytics, Web Marketing analysts, Data Mining and statistical consultants with knowledge of Basic statistics and R language, can take up this Text Mining course to learn the techniques of analyzing the natural language text data. In general, analysts who want to pioneer themselves in this charming Text Mining field can pick this course.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.


  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • RE

Text mining is a technique used to extract useful information and insights from large amounts of text data.

The main objectives of text mining are to discover patterns, extract knowledge, and gain insights from unstructured textual data.

Text mining is widely used in sentiment analysis, document classification, information retrieval, customer feedback analysis, and fraud detection.

The process of text mining involves data collection, preprocessing, text representation, feature extraction, and analysis using statistical or machine learning algorithms.

Challenges in text mining include dealing with unstructured data, handling noisy and ambiguous text, addressing language variations, and managing the large volume of text data.

 Text mining techniques include natural language processing (NLP), information retrieval, machine learning, and statistical analysis.

Text mining plays a crucial role in sentiment analysis by analyzing text to determine the sentiment expressed, such as positive, negative, or neutral.

Text mining helps in information retrieval by extracting relevant information from a large corpus of text documents based on user queries.

Text mining provides businesses with valuable insights, such as customer preferences, market trends, and feedback analysis, which can aid in decision-making and improving operations.

Text mining refers to the process of extracting knowledge from text, while text analytics involves a broader set of techniques for analyzing and interpreting textual data.

The salary of a text mining specialist in India ranges from INR 7,45,425 per year according to a Glassdoor report.

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DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites is an excellent choice for text mining training due to its comprehensive curriculum, experienced instructors, practical hands-on projects, and placement assistance.

There are no specific prerequisites for enrolling in text mining training at DataMites. However, having a basic understanding of programming and statistics can be beneficial for a better understanding of the concepts taught in the course.

The course available in Text mining training are Python/R, Text Mining Concepts, Natural Language Processing and Sentiment Analysis.

At DataMites, the Text Mining Course duration spans three months, providing students with one year of access to Elearning materials.

The text mining training course fee at DataMites offers different pricing options to cater to various preferences. The fee for live online training starts at INR 21,000, blended learning starts at INR 13,000, and classroom training starts at INR 26,000, providing flexibility for students to choose the learning format that suits their needs.

The mode of Payment are- 

  • Net Banking
  • Check
  • Cash
  • Debit Card
  • Credit Card
  • PayPal
  • Visa
  • Master card
  • American Express

Yes, after the completion of the course the students will be provided with globally recognized certificates accredited by IABAC, NASSCOM, FutureSkills etc.

Yes, DataMites provides career support and job placement assistance to students who complete their Text Mining course.

Yes, text mining course is accredited by international bodies called IABAC, NASSCOM, FutureSkills, and Jain University.

Yes, DataMites provides hands-on projects and practical exercises in Text Mining. These activities allow students to apply their knowledge to real-world text data and gain practical experience. The projects cover various aspects of text mining, such as text preprocessing, sentiment analysis, topic modeling, and text classification. This hands-on approach enhances the learning experience and helps students develop the necessary skills for text mining.

DataMites stands out from other training providers with its comprehensive curriculum, industry-relevant projects, and experienced instructors.

Yes, DataMites offers placement assistance and career support to students who have completed the text mining course. They provide guidance in job search, resume building, interview preparation, and connecting students with potential employers. DataMites has a dedicated placement cell that helps students leverage their skills and secure job opportunities in the field of text mining. This support enhances the chances of successful career transitions and job placements for students completing the course.

Yes, the text mining training at DataMites is suitable for both beginners and experienced professionals. The course curriculum is designed to cater to the needs of individuals with varying levels of expertise in text mining. Beginners can gain a solid foundation in the field, while experienced professionals can enhance their skills and stay updated with the latest techniques. The training program covers fundamental concepts as well as advanced topics, ensuring that participants from different backgrounds can benefit from the course.

The key advantages of choosing DataMites for text mining training include a comprehensive curriculum covering both fundamental and advanced concepts, hands-on projects and practical exercises for real-world application, experienced instructors with industry expertise, and placement assistance and career support services.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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