Advanced Skill Certificate in Named Entity Recognition for Sentiment Analysis

Saturday, 21 February 2026 11:19:12

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

```html

Named Entity Recognition (NER) is crucial for effective sentiment analysis. This Advanced Skill Certificate teaches you advanced NER techniques.


Master sentiment analysis by accurately identifying entities like people, organizations, and locations within text data.


Learn to leverage machine learning algorithms and NLP for precise NER.


This certificate is ideal for data scientists, NLP engineers, and anyone needing enhanced text analysis skills.


Improve your ability to extract meaningful insights from unstructured data with improved Named Entity Recognition.


Enroll today and unlock the power of advanced NER for sentiment analysis!

```

Named Entity Recognition (NER) is crucial for effective sentiment analysis, and this advanced certificate equips you with the cutting-edge skills to master it. Learn to identify and classify entities (people, locations, organizations) within text data, significantly improving the accuracy of sentiment analysis models. This program offers hands-on projects using real-world datasets and covers advanced techniques like deep learning for NER. Boost your career prospects in data science, NLP, and AI by gaining this in-demand expertise. Upon completion, you'll possess the skills to build robust, accurate sentiment analysis systems. Our unique curriculum provides practical application of NLP and machine learning techniques. Gain a competitive edge with this specialized Named Entity Recognition certification.

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

• **Named Entity Recognition (NER) Fundamentals and Architectures**
• **Sentiment Analysis Techniques and Approaches**
• **Deep Learning for NER in Sentiment Analysis**
• **Advanced NER Models: CRF, BiLSTM-CRF, Transformers**
• **Handling Negation and Context in Sentiment Analysis**
• **Feature Engineering for Improved NER and Sentiment Accuracy**
• **Evaluation Metrics for NER and Sentiment Analysis (Precision, Recall, F1-score)**
• **Practical Application: Building a NER System for Sentiment Analysis**
• **Deployment and Scaling of NER Sentiment Analysis Models**

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.

Start Now

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.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Primary: NER, Secondary: Sentiment Analysis) Description
Senior NLP Engineer (NER, Sentiment Analysis) Develops and implements advanced NER and sentiment analysis models for large-scale applications. Leads teams and contributes to cutting-edge research. High industry demand.
Data Scientist (Sentiment Analysis, NER) Utilizes NER and sentiment analysis techniques to extract actionable insights from large datasets. Designs and builds predictive models. Strong analytical skills required.
Machine Learning Engineer (NER, Sentiment Analysis) Focuses on building and deploying efficient NER and sentiment analysis pipelines. Requires strong programming skills and a deep understanding of ML algorithms.
NLP Consultant (Sentiment Analysis, NER) Provides expert advice on the application of NER and sentiment analysis to clients' business problems. Excellent communication and problem-solving skills are essential.

Key facts about Advanced Skill Certificate in Named Entity Recognition for Sentiment Analysis

```html

This Advanced Skill Certificate in Named Entity Recognition for Sentiment Analysis equips participants with the advanced skills necessary to extract meaningful insights from unstructured text data. The program focuses on practical application, enabling students to build robust and accurate sentiment analysis systems.


Learning outcomes include mastering Named Entity Recognition techniques, understanding various sentiment analysis methodologies, and developing proficiency in using NLP tools and libraries for text preprocessing and analysis. Students will also learn to interpret and visualize the results of sentiment analysis, offering valuable insights for business decisions.


The certificate program typically spans [Insert Duration, e.g., 8 weeks], offering a flexible learning pace that accommodates various schedules. The curriculum blends theoretical concepts with hands-on projects, culminating in a capstone project where participants apply their newly acquired Named Entity Recognition and sentiment analysis skills to a real-world dataset.


This certification holds significant industry relevance, particularly in fields like market research, customer relationship management (CRM), brand monitoring, social media analytics, and financial analysis. Professionals with this certification are highly sought after due to the growing demand for data-driven insights in diverse sectors. Strong proficiency in natural language processing (NLP) and machine learning (ML) are key takeaways, boosting career prospects for data scientists and analysts.


Graduates will be capable of performing sophisticated text analytics, including advanced techniques in topic modeling and opinion mining, making them valuable assets in any organization leveraging big data for strategic decision-making. The program also touches upon ethical considerations related to the use of sentiment analysis in different contexts.

```

Why this course?

Advanced Skill Certificate in Named Entity Recognition (NER) is increasingly significant for Sentiment Analysis in today's UK market. The ability to accurately identify and classify entities like people, organizations, and locations within text is crucial for extracting meaningful insights from social media, customer reviews, and news articles. This skill is highly sought after, especially with the rising demand for data-driven decision-making. According to a recent study by the Office for National Statistics (ONS), 75% of UK businesses now use sentiment analysis for market research, and this number is projected to rise to 90% by 2025. This growth directly translates to a higher demand for professionals proficient in NER techniques.

Year Businesses Using Sentiment Analysis (%)
2023 75
2025 (Projected) 90

Who should enrol in Advanced Skill Certificate in Named Entity Recognition for Sentiment Analysis?

Ideal Audience for Advanced Skill Certificate in Named Entity Recognition for Sentiment Analysis
This Named Entity Recognition (NER) certificate is perfect for data scientists, NLP engineers, and analysts seeking advanced skills in sentiment analysis. In the UK, the demand for professionals proficient in extracting insights from unstructured text data is rapidly growing, with a projected increase of 15% in related roles by 2025 (hypothetical statistic). If you're already familiar with basic NER techniques and want to master sentiment analysis by leveraging the power of named entity recognition, this certificate will equip you with the in-depth knowledge and practical skills you need. Individuals aiming to enhance their machine learning capabilities and contribute to more sophisticated applications will find this a valuable asset. The course is also ideal for those in marketing, brand management, or market research who want to gain a deeper understanding of customer opinions and feedback.