Professional Certificate in Sentiment Analysis for Evaluation

Saturday, 14 February 2026 09:17:56

International applicants and their qualifications are accepted

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Overview

Overview

Sentiment Analysis

is a crucial tool for evaluating customer opinions and emotions in text data. This course is designed for professionals who want to learn how to analyze and interpret sentiment in social media, customer feedback, and other forms of unstructured data.

By the end of this course, learners will be able to identify and categorize sentiment, understand the nuances of emotional language, and develop effective strategies for improving customer experience.

Some key concepts covered in the course include natural language processing, machine learning algorithms, and data visualization techniques.

Whether you're a marketing manager, customer service representative, or data analyst, Sentiment Analysis is an essential skill for anyone looking to gain a deeper understanding of customer emotions and preferences.

Take the first step towards unlocking the power of sentiment analysis and start exploring this course today!

Sentiment Analysis is a crucial skill in the field of Natural Language Processing (NLP) and Machine Learning. This Professional Certificate in Sentiment Analysis for Evaluation will equip you with the knowledge and tools to analyze and interpret text data, enabling you to make informed decisions in various industries. With this course, you'll gain a deep understanding of sentiment analysis techniques and learn how to apply them to real-world problems. You'll also develop skills in text preprocessing and machine learning algorithms, making you a competitive candidate in the job market. Career prospects are vast, with opportunities in marketing, social media, and customer service.

Entry requirements

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

• Sentiment Analysis Fundamentals • Text Preprocessing Techniques • Natural Language Processing (NLP) Concepts • Machine Learning Algorithms for Sentiment Analysis • Feature Extraction Methods • Sentiment Intensity Analysis • Emotion Recognition in Text • Opinion Mining and Extraction • Sentiment Analysis for Specific Domains • Evaluation Metrics for Sentiment Analysis

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

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Career path

Key facts about Professional Certificate in Sentiment Analysis for Evaluation

The Professional Certificate in Sentiment Analysis for Evaluation is a comprehensive program designed to equip learners with the skills and knowledge required to analyze and interpret sentiment data in various industries.
This program focuses on teaching learners how to use machine learning algorithms and natural language processing techniques to analyze text data and extract insights that can inform business decisions.
Upon completion of the program, learners will be able to evaluate the sentiment of text data, identify trends and patterns, and develop predictive models that can be used to improve customer service, marketing campaigns, and product development.
The program is designed to be completed in approximately 4-6 months, with learners working at their own pace to complete the coursework and assignments.
The Professional Certificate in Sentiment Analysis for Evaluation is highly relevant to industries such as finance, healthcare, and e-commerce, where sentiment analysis can be used to improve customer experience, detect early warning signs of issues, and inform strategic decision-making.
Learners who complete the program will gain a competitive edge in the job market, as sentiment analysis is a highly sought-after skill in many industries.
The program is delivered through a combination of online coursework, assignments, and projects, and is taught by industry experts who have extensive experience in sentiment analysis and machine learning.
Overall, the Professional Certificate in Sentiment Analysis for Evaluation is an excellent choice for anyone looking to develop their skills in sentiment analysis and gain a competitive edge in the job market.

Why this course?

Sentiment Analysis is a crucial aspect of natural language processing (NLP) that has gained significant importance in today's market. According to a survey conducted by the UK's Data Science Council of America, 71% of organizations in the UK are using NLP for customer service, while 63% are using it for social media monitoring. The same survey revealed that 55% of companies in the UK are planning to increase their NLP investments in the next two years.
Year NLP Investment
2020 45%
2021 55%
2022 71%

Who should enrol in Professional Certificate in Sentiment Analysis for Evaluation?

Sentiment Analysis Ideal Audience
Professionals seeking to enhance their skills in natural language processing and machine learning Individuals with a background in data science, marketing, or linguistics, particularly those in the UK, where 71% of businesses use social media to monitor customer sentiment (Source: Hootsuite), and 63% of UK consumers trust online reviews as much as personal recommendations (Source: BrightLocal).
Those interested in applying sentiment analysis to improve customer service, market research, or competitive intelligence Learners with a basic understanding of programming concepts, such as Python or R, and a willingness to learn machine learning algorithms and statistical models, are well-suited for this course. In the UK, the demand for professionals with expertise in AI and machine learning is expected to grow by 13% by 2025 (Source: PwC).
Businesses looking to leverage sentiment analysis to inform strategic decisions Organisations in various industries, including finance, healthcare, and retail, can benefit from this course, which provides a comprehensive understanding of sentiment analysis and its applications.