Become a Text Mining Expert: Advance Your Career with Certification
Text Mining is a highly complex approach to getting much-needed and effective data value from infinite text data. Popular techniques employed in NLP and Data Mining can be used to find a set of patterns, sentiments, and trends hidden in the text. People with a Text Mining Certification in David are well aware of these processes, which help them turn text data into valuable knowledge. Owing to the increasing use of Text Mining, acquiring this certification can be an added advantage that will open up market opportunities for an individual and attest to their expertise in the field and their knowledge of Text Mining tools. With the increase in text, there will also be an increase in need for text mining specialists, so if professors have the skills, they can make a good career in this field.
Text Mining Training: NLP, Sentiment Analysis, and Data Preprocessing
At Unichrone, Text Mining Training in David is designed to meet needs of those seeking practical skills on how to analyze and make meaning from textual data. The concepts that learners are to become acquainted with include natural language processing, data preprocessing, text classification, sentiment analysis, and information extraction. Participants will sharpen their skills in applying commercial, proprietary, and open-source TM tools and methods that allow identification of hitherto unknown patterns, trends, and opinions buried in large information streams, along with best Text Mining software. Upon successful completion of training, learners will be equipped with theoretical and practical competencies in data cleaning, feature engineering, model development, and assessment for Text Mining problems in different domains.
Master Text Mining with Comprehensive Exam
At end of Text Mining Course is a final examination, which candidates are obliged to complete to ascertain their attained knowledge. Text Mining Exam in David will check knowledge of essential Text Mining tools comprising data pre-processing, text pre-processing, feature extraction, and text classification. Text Mining problem-solving skills will also be used in evaluation process, and candidates will be expected to use different algorithms and techniques in their solving. Also, the examination will assess concepts of sentiment analysis, topic modeling, and information retrieval knowledge as well. Candidates who pass the exam will be said to have adequate knowledge of the principles of text mining and how to implement them.
Corporate Group Training
- Customized Training
- Live Instructor-led
- Onsite/Online
- Flexible Dates
| Text Mining Certification Exam Details in David | |
| Exam Name | Text Mining Certification Exam |
| Exam Format | Multiple choice |
| Total Questions | 30 Questions |
| Passing Score | 70% |
| Exam Duration | 60 minutes |
Key Features of Text Mining Training in David Panama
Through its Text Mining Certification Training in David, Unichrone enables candidates to discover possibilities of information not apparent in texts. In this way, participants will be able to obtain an edge while navigating in today’s world, where data is becoming more important. The curriculum that we provide is not limited to basic concepts but covers some of more specialized Text Mining tools and techniques that are so important when addressing real-life problems. The learners will be equipped with skills in developing different models of sentiment analysis, topic modeling, information retrieval, and natural language generation to extract insights from different forms of texts. Using assignments and case studies from business world, participants would be able to build their problem-solving and critical thinking skills and complete Text Mining Training with ability to apply text mining solutions in any business environment. In this way, through imparting such knowledge as how raw documents can be turned into strategic knowledge, Unichrone’s training is actually a key to growth in one’s career and in bringing innovations.
- 2 Day Interactive Instructor –led Online Classroom or Group Training in David Panama
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert trainers with vast industrial experience
- Enrich with Industry best practices and case studies and present trends
- Text Mining Training Course adhered with International Standards
- End-to-end support via phone, mail, and chat
- Convenient Weekday/Weekend Text Mining Training Course schedule in David Panama
Text Mining Certification Benefits
Higher Salary
With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field
Individual accomplishments
Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification
Gain credibility
Owning the certification makes it easier to earn the trust and respect of professionals working in the same field
Rigorous study plan
The course content is prescribed as per the exam requirements, covering the necessary topics to ace the exam in the first attempt
Diverse job roles
Attaining the certification enhances the spirit of individuals to pursue diverse job roles in the organization
Sophisticated skillset
With this certification, individuals acquire refined skills and techniques required to play their part in an organization
Text Mining Certification Training Curriculum
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Module 1: Introduction to Text Mining
Topics
- ·What is Text Mining?
- ·Text Mining Systems Architecture
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Module 2: Core Text Mining Operations
Topics
- ·What is Core Text Mining Operations?
- ·Text Mining Query Languages
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Module 3: Text Mining Pre-Processing Techniques
Topics
- ·Task-Oriented Approaches
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Module 4: Categorization
Topics
- ·Text Categorization Applications
- ·Document Representation
- ·Knowledge Engineering to TC
- ·Using Unlabeled Data
- ·Evaluating Text Classifiers
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Module 5: Introduction to Clustering
Topics
- ·Partitioning of Networks
- ·Clustering Tasks in Text Analysis
- ·Clustering Algorithms
- ·Clustering of Textual Data
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Module 6: Information Extraction (IE)
Topics
- ·Define Information Extraction
- ·IE Systems Architecture
- ·Anaphora Resolution
- ·IE Inductive Algorithms
- ·Structural Information Extraction (IE)
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Module 7: Probabilistic Models for IE
Topics
- ·Hidden Markov Models
- ·Stochastic Context-Free Grammar
- ·Maximal Entropy Modelling
- ·Conditional Random Fields
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Module 8: Pre-Processing Applications
Topics
- ·HMM to Textual Analysis Applications
- ·Using MEMM for IE
- ·Applications of CRFs to Textual Analysis MEMM for IE
- ·Using SCFG Rules
- ·Bootstrapping
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Module 9: Presentation-Layer Considerations
Topics
- ·Browsing
- ·Accessing Constraints and Simple Specification Filters at the Presentation Layer
- ·Accessing the Underlying Query Language
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Module 10: Visualization Approaches
Topics
- ·Architectural Considerations
- ·Text Mining Visualization Approaches
- ·Visualization Techniques in Link Analysis
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Module 11: Introduction to Link Analysis
Topics
- ·Automatic Layout of Networks
- ·Paths and Cycles in Graphs
- ·Centrality
- ·Partitioning of Networks
- ·Networks Pattern Matching
