Advanced Certificate in Text Mining and Sentiment Analysis

Wednesday, 11 February 2026 16:30:17

International applicants and their qualifications are accepted

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Overview

Overview

Text Mining and Sentiment Analysis


Unlock the power of unstructured data with our Advanced Certificate in Text Mining and Sentiment Analysis.


Discover how to extract insights from vast amounts of text data and make informed decisions with data-driven approaches.

Designed for data analysts, business intelligence professionals, and anyone interested in natural language processing, this course covers the fundamentals of text mining and sentiment analysis.


Learn to analyze text data, identify trends, and predict outcomes using machine learning algorithms and statistical techniques.

Gain practical skills in tools like Python, R, and spaCy, and apply them to real-world projects.


Take the first step towards a career in text mining and sentiment analysis. Enroll now and start extracting insights from unstructured data!

Text Mining is a powerful tool for extracting insights from unstructured data, and our Advanced Certificate in Text Mining and Sentiment Analysis will teach you how to harness its potential. With this course, you'll learn to analyze large volumes of text data, identify patterns, and make informed decisions. The key benefits include improved data-driven decision making and increased efficiency in extracting valuable insights. Career prospects are vast, with applications in market research and customer service. Unique features of the course include hands-on experience with popular tools like NLTK and spaCy, and a focus on sentiment analysis techniques.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

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Natural Language Processing (NLP) • Sentiment Analysis • Text Preprocessing • Machine Learning Algorithms • Text Classification • Information Extraction • Sentiment Intensity Analysis • Topic Modeling • Named Entity Recognition • Text Summarization

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Advanced Certificate in Text Mining and Sentiment Analysis

The Advanced Certificate in Text Mining and Sentiment Analysis is a specialized program designed to equip learners with the skills necessary to extract insights from unstructured text data.
This course focuses on teaching learners how to analyze and interpret text data, including sentiment analysis, topic modeling, and text classification.
Upon completion of the program, learners will be able to apply their knowledge to real-world problems in industries such as marketing, finance, and healthcare.
The learning outcomes of this program include the ability to design and implement text mining pipelines, develop and train machine learning models for sentiment analysis, and evaluate the performance of these models.
The duration of the Advanced Certificate in Text Mining and Sentiment Analysis is typically 12 weeks, with learners expected to dedicate around 10 hours per week to coursework and assignments.
Industry relevance is high for this program, as text mining and sentiment analysis are increasingly used in various sectors to gain valuable insights from customer feedback, social media posts, and market research reports.
Learners who complete this program can expect to see career advancement opportunities in roles such as data scientist, business analyst, or marketing manager, where they can apply their skills in text mining and sentiment analysis to drive business growth and decision-making.
The Advanced Certificate in Text Mining and Sentiment Analysis is offered by leading educational institutions and is recognized globally for its high-quality curriculum and industry-relevant training.
By investing in this program, learners can gain a competitive edge in the job market and stay ahead of the curve in the rapidly evolving field of text mining and sentiment analysis.

Why this course?

Text Mining and Sentiment Analysis have become crucial skills in today's market, particularly in the UK. According to Google Trends, the search volume for "text mining" has increased by 45% in the last two years, while "sentiment analysis" has seen a 30% rise.
Year Search Volume
2020 1000
2021 1450
2022 1300

Who should enrol in Advanced Certificate in Text Mining and Sentiment Analysis?

Text Mining and Sentiment Analysis Ideal Audience
Professionals and students in the UK looking to upskill in data analysis and machine learning, with a focus on the £13.4 billion UK data analytics market, are the primary target audience for this Advanced Certificate. Key characteristics include:
- Familiarity with data analysis tools and techniques, such as Excel, SQL, and Python - Basic understanding of machine learning concepts and algorithms
- Interest in applying text mining and sentiment analysis to real-world problems, such as customer feedback analysis and market research - Willingness to learn and adapt to new technologies and methodologies