Natural Language Processing Course with Placement Support
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Natural Language Processing Course

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Gain Our Intelligent Practical NLP Training

  • Our NLP training is designed to teach participants about the basics, methods, and applications of NLP, an area of artificial intelligence (AI) that focuses on computer-human interaction.
  • The NLP training at ACTE offers students with important skills that are in high demand across a wide range of fields, opening the door to lucrative job opportunities in data science, machine learning, and AI-related fields.
  • ACTE's NLP training focuses on hands-on learning through hands-on exercises, real-world projects, and industry-relevant case studies.
  • Our Placement Support Team offers interview preparation classes to provide students with the confidence and abilities they need to perform effectively in employment interviews.
  • Explore machine learning strategies for text classification, sentiment analysis, and topic modeling and discover word embeddings and distributed representations to understand semantic relationships.
  • Students will learn how NLP algorithms, such as tokenization, part-of-speech tagging, and named entity identification, process and analyze text data in this training.
  • ACTE's NLP training offers a quick, accessible way to acquire essential skills in Natural Language Processing, making it an ideal option for those interested in this dynamic sector.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Introduction to NLP
  • NLP Libraries and Tools
  • Text Preprocessing
  • Text Representation
  • Topic Modeling
  • Named Entity Recognition (NER)
  • Part-of-Speech (POS) Tagging

Natural Language Processing (NLP) has a bright future and is projected to have a substantial influence across a variety of fields and applications. NLP technology is constantly improving, allowing robots to grasp human language better, including its subtleties, context, and ambiguity.

  • NLTK (Natural Language Toolkit)
  • Spacy-Universe
  • BERT (Bidirectional Encoder Representations from Transformers)
  • OpenNLP
  • TensorFlow and Keras
  • Gensim

Learning NLP (Natural Language Processing) training has various advantages, making it a worthwhile talent to obtain. NLP is critical in automated language translation and localization, overcoming language boundaries and promoting worldwide communication.

  • Lucrative Career Prospects
  • AI Research Advancements
  • Integration of AI and Data Science
  • Language-Based Application Development
  • Cost-Effectiveness
  • Global Applicability

No, there is no compulsion to pursue NLP (Natural Language Processing) training. Anyone interested in learning about language processing, comprehending human-computer interactions, and working on AI-driven language-related initiatives is welcome to attend NLP training.

  • Ethical Considerations in NLP
  • Sentiment Analysis
  • Word Sense Disambiguation
  • improved problem-solving abilities
  • Communication skills
  • Retrieval of Information

What types of learning materials are offered in the NLP course?

Various sorts of learning resources are often provided in an NLP (Natural Language Processing) course to guarantee a thorough grasp of the subject. Video Lectures, Practical Assignments, Real-World Projects, Case Studies, Community Support, NLP Libraries, and Tool Tutorials are all available.

Is NLP a good career choice in India?

Yes, NLP (Natural Language Processing) is a highly sought-after career choice in India due to its growing importance in AI and data science sectors. It facilitates language understanding and human-computer interaction, and is a dynamic discipline with ongoing research and innovation, ensuring experts continuously learn and develop.

What real-world projects are available for NLP students to work on?

  • Developing a social media sentiment analysis
  • Question-Answering Chatbot
  • Recognition of Speech in Voice-Controlled Systems
  • Making use of topic modeling methods for document clustering
  • Multilingual Communication Using Machine Translation
  • Entity Recognition for News Articles

Which fields most frequently hire experts in NLP?

Experts in NLP are typically employed in the following industries:

  • Companies in Technology and Software
  • Financial Services
  • E-learning
  • Analytics and market research
  • Social Media and E-commerce
  • Medical Research
  • Customer Service
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An Elaborate Overview of NLP

A subfield of computational linguistics and artificial intelligence called "natural language processing" (NLP) strives to make it possible for computers to comprehend, analyze, and produce human language in meaningful and contextual ways. NLP bridging the gap between human communication and machine perception, enabling natural and intuitive interactions between people and computers. NLP procedures include NER, sentiment analysis, text categorization, machine translation, question-answering, and text summarization. Various methodologies, including deep learning models like transformers, statistical methods, and rule-based procedures, are used in NLP applications such as chatbots, virtual assistants, sentiment analysis, information retrieval, machine translation, and medical text analysis. Deep learning has revolutionized NLP, leading to the development of complex language models like BERT, GPT, and transformers for superior results across various tasks.


Additional Info

Career Scope of NLP

NLP offers diverse career opportunities in various industries, with promising career potential as NLP technology advances and language processing applications demand increases.

  • Growing Demand: There is a growing demand for NLP professionals as a consequence of the widespread use of AI-powered applications and language-driven technologies.
  • Applications Based on Language: NLP professionals create chatbots, virtual assistants, and sentiment analysis tools, among other language-based applications.
  • Data science and AI roles: In AI and Data science roles, NLP experts are in high demand as they can work on projects involving language, sentiment analysis, chatbots, and NLP systems.
  • Software Development: Technology firms and software development companies hire NLP specialists to create voice recognition systems, virtual assistants, and language-based applications.
  • Language Technology Startups: Language processing and NLP-based startups are expanding, providing exceptional chances for NLP specialists to develop and contribute.
  • Product Development: NLP experts are employed by businesses to create language-focused products, such as sentiment analysis platforms, speech recognition software, and language translation tools.
  • Ethical AI and Bias Mitigation: To solve moral issues with language models and guarantee equity and inclusion in NLP applications, specialists in NLP are required.

Important Skill Sets Used by NLP Professionals

Professionals in NLP need a broad skill set to work efficiently on language-related tasks and create cutting-edge language processing solutions. Professionals that use NLP often need to have the following skill sets:

  • For analyzing and comprehending the structure, syntax, and semantics of human language, it is fundamental to have a solid understanding of linguistics' basic concepts.
  • Building and optimizing NLP models requires expertise in machine learning methods, such as supervised and unsupervised learning, and deep learning frameworks.
  • For the implementation of diverse language processing tasks, familiarity with well-known NLP libraries and tools such as NLTK, spaCy, Transformers, and Gensim, among others, is required.
  • understanding of topic-modeling instruments, such as Latent Dirichlet Allocation (LDA), for discovering hidden themes and topics in a corpus of documents.
  • To resolve complicated language processing difficulties, NLP professionals must demonstrate outstanding analytical and problem-solving capabilities.
  • Successful NLP initiatives require efficient cross-functional teamwork from individuals in these fields as well as linguists, data scientists, and software developers.
  • Possibilities of establishing and annotating datasets for training NLP models, guaranteeing that the data is appropriately categorized for the purpose of supervised learning.
  • For understanding the background and demands of NLP initiatives, domain-specific knowledge (such as that associated with healthcare, finance, or the law) may be beneficial.

Organizational Benefits of NLP

Implementing NLP (Natural Language Processing) technologies into numerous facets of an organization's operations can be quite beneficial. The following are some of the main NLP organizational benefits:

  • Enhanced Client Experience: Chatbots and virtual assistants with NLP capabilities can respond to client questions quickly and accurately, enhancing engagement and customer service.
  • Automated Data Extraction: NLP can automate data extraction and minimize manual work by extracting pertinent information from papers, emails, and other textual sources.
  • Personalization: NLP enables businesses to cater information and recommendations based on customer preferences and behavior, thereby personalizing the user experience.
  • Analysis of Text Data: Text data from a range of sources, such as surveys and consumer feedback, can be analyzed using NLP to glean insightful information and guide corporate strategy.
  • Automated Content Generation: For automated content creation and summarization, natural language processing (NLP) models can produce human-like writing.
  • Decreased workload: NLP decreases the workload of human operators by automating language processing operations allowing them to concentrate on higher-level tasks.
  • Cost and time savings: NLP automates procedures that would otherwise require an extensive amount of human work, saving companies money and time.

Roles and responsibilities of NLP professionals

  • Create and build NLP models, algorithms, and approaches for specific language processing tasks, such as sentiment analysis, text categorization, named entity recognition, and machine translation.
  • Software, websites, and applications should all have NLP functionality. Develop NLP-based tools such as chatbots, virtual assistants, and recommendation engines.
  • oversee the development and application of NLP-based products and solutions. Together with cross-functional teams, define the project's objectives and constraints.
  • Conduct NLP research, publish what you discover in scholarly journals, and recommend fresh approaches and models for enhancing the field of work.
  • Identify emerging trends, patterns, and insights in linguistic data that can offer insightful data for business decision-making.
  • To address difficulties particular to a given industry or domain, apply NLP approaches to such industries or domains, such as healthcare, finance, legal, or social media.
  • Utilize NLP approaches to analyze significant amounts of textual data, carry out text mining, and derive insights. To comprehend patterns and trends in language data, create prediction models.
  • Apply machine learning methodologies to NLP difficulties, construct and enhance language models, and adjust previously taught models for particular tasks.

Tools used for NLP

The field of NLP (Natural Language Processing) is broad, and there are many tools and libraries available to help with different NLP tasks. Technologies provide pre-built resources for processing spoken language.

  • NLTK (Natural Language Toolkit): NLTK is a popular Python NLP library for tasks like tokenization, part-of-speech tagging, and sentiment analysis, offering various tools and resources.
  • Hugging Face Transformers: Hugging Face Transformers library offers pre-trained transformer models like BERT, GPT, and RoBERTa for named entity recognition, sentiment analysis, and text production.
  • TensorFlow NLP: TensorFlow, Google's deep learning framework, is used by the NLP library, which offers a variety of tools and models for NLP applications.
  • Word2Vec: Word2Vec is an NLP method that embeds words as dense vectors in a continuous vector space, capturing semantic links between words and enabling similar representations with related meanings.
  • Polyglot: A multilingual NLP (Natural Language Processing) package called Polyglot offers assistance for handling and analyzing text in several languages.
  • CoreNLP: It offers NLP tools for linguistic analysis of text data, designed in Java but also offers interfaces and wrappers for Python and other programming languages.
  • VADER: VADER analyzes tone and feeling in social media posts, testimonials, and online comments, handling emoticons, slang, and informal language. It is widely used for analyzing these types of content.
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Key Features

ACTE offers Natural Language Processing (NLP) Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Natural Language Processing Course
Module 1: Introduction to Natural Language Processing
  • What is NLP
  • Applications of NLP
  • Challenges in NLP
Module 2: Text Preprocessing
  • Tokenization
  • Stopword removal
  • Stemming and Lemmatization
  • Part-of-speech tagging
  • Named Entity Recognition (NER)
Module 3: Language Modeling
  • N-grams
  • Statistical Language Models
  • Neural Language Models
Module 4: Syntax and Parsing
  • Context-Free Grammars
  • Constituency and Dependency Parsing
  • Chomsky Normal Form
Module 5: Sentiment Analysis
  • Introduction to Sentiment Analysis
  • Text Classification for Sentiment Analysis
  • Lexicon-based approaches
  • Machine learning-based approaches
Module 6: Information Retrieval
  • Introduction to Information Retrieval
  • Vector Space Model
  • TF-IDF (Term Frequency-Inverse Document Frequency)
  • Document similarity and clustering
Module 7: Machine Translation
  • Rule-Based Machine Translation
  • Statistical Machine Translation
  • Neural Machine Translation
Module 8: Named Entity Recognition (NER) and Entity Linking
  • Named Entity Recognition algorithms
  • Entity Linking and disambiguation
Module 9: Text Summarization
  • Extractive Summarization
  • Abstractive Summarization
  • Evaluation metrics for summarization
Module 10: Question Answering Systems
  • Retrieval-based QA
  • Generative QA
  • Evaluation metrics for QA
Module 11: Sequence-to-Sequence Models
  • Introduction to Sequence-to-Sequence (seq2seq) models
  • Encoder-Decoder Architectures
  • Attention Mechanism
Module 12: Transfer Learning in NLP
  • Pre-trained language models
  • Fine-tuning techniques
Module 13: Ethical Considerations in NLP
  • Bias in NLP models
  • Fairness and inclusivity
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Hands-on Real Time Natural Language Processing (NLP) Projects

Project 1
Analyze Movie Review Data with NLP

The data using tokenization and lemmatization and then develop an understanding, in the project we wil discuss.

Project 2
Data analysis

Data analysis workflows as more BI vendors offer a natural language interface to data visualizations in the project we will discuss.

Inspire Your Profession with Our NLP Job Support

Advanced NLP Job Support is an assistance program offered by ACTE to help students obtain work or opportunities for internships after completing the course.

  • To help candidates feel better about themselves, ACTE offers guidance on how to prepare themselves for technical interviews, behavioral interviews, and mock interviews regarding NLP.
  • A well-written resume that is tailored to NLP-related job opportunities and showcases your expertise and projects can be created with help from ACTE's job support team.
  • Our students stand an excellent chance of getting hired for Natural Language Processing positions at reputable companies like Facebook, Amazon, Microsoft, Adobe, Uber, and Intel.
  • ACTE collaborates with businesses and organizations to help in professional development through job fairs, guest lectures, and networking opportunities for students.
  • Students will be contacted by us to schedule interviews and prepare for in-person meetings once they have finished 60% of the Natural Language Processing course material.
  • Soft skills training in areas like teamwork, communication, and presentation are provided by our job assistance team and are crucial for a successful career in NLP.

Acquire Our Inventive NLP Certification

Every relevant organization across the world respects and recognises the ACTE Certification. Even after their formal education is over, new students and business trainees are encouraged to use our services. Because of its track record for accreditation, ACTE Natural Language Processing Certification is widely known. Having this degree will enhance your chances of receiving a job offer from one of the greatest organizations in the world, which will improve the value of your resume. You won't be able to get the certification if you don't finish the practice-based training and assignments.

  • NLP Engineer
  • AI Research Scientist
  • Machine Learning Engineer
  • NLP Consultant
  • Software Developer
  • Data Scientist

Certification serves as a concrete indicator of NLP skill and knowledge necessary for language processing. In a cutthroat employment market, it might set job seekers apart from others without formal training credentials.

An NLP (Natural Language Processing) certification can advance your career and even enhance your pay. The magnitude of the wage boost, however, will depend on a number of variables, including your current skills and experience, the need for NLP experts in your industry and location, the particular NLP certification you obtain, and the state of the labor market.

  • Evaluation of Skills
  • Career growth
  • Industry Appreciation
  • Higher Employability
  • Continuous Learning

NLP certification training programmes can last anything from a few weeks to several months. The length of the course of instruction might range from a few weeks for a short series of sessions to many months for a longer curriculum that includes projects and assessments.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

Enhance your Career With Our NLP Trainers

  • At ACTE, we only hire experts with at least 9+ years of specialized business expertise who have worked for major businesses as NLP trainers.
  • Our NLP trainers offer thorough instruction in Natural Language Processing, covering everything from basic concepts to cutting-edge methods.
  • Our whole staff has experience managing large IT companies like Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies, and they all bring that knowledge to the classroom.
  • Your inquiries are welcomed, and our knowledgeable trainers provide a friendly learning environment where you feel free to talk about any problems you might be experiencing.
  • To ensure that our students are taught the most recent methods in our Natural Language Processing Course, NLP trainers regularly investigate relevant studies.
  • To make sure that students comprehend the content, our trainers offer assistance, clearly explain complex concepts, and present well-organized, engrossing course material.

Natural Language Processing (NLP) Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



Real time scenarios are explained along with hand full of assignments. Explanation of the topics are done very clearly and in easy manner so that the person without any background knowledge will also be able to follow up on the topics of Natural Language Processing (NLP) Personal attention is payed to each and every student. Fun loving and friendly environment at class as they are not over crowded in ACTE Omr


Software Engineer

I joined here for Natural Language Processing course. The training here is very useful and helpful. Staff are very friendly. Placement opportunities are also very good. It is a good environment for people. I really recommend ACTE to everyone.


Software Engineer

The course structure here covers almost all the latest technologies and statistical techniques. The best part about the Artificial Intelligence course is the hands-on experience that you get after each lecture from a mentor. There is a team of awesome data scientists who help you in applying the knowledge gained during the lectures to solve real-world problems. I believe this is the only institute in Tambaram providing quality and latest concepts for Data Science & Artificial Intelligence Thanks, ACTE


This is best Training institute for Natural Language Processing (NLP) for Fresher and they provide placement to each and every student. I have done my course in ACTE and finally got placed in good company.Thanks to all the ACTE Team members and faculities.!



ACTE is one of the best institutes for Artificial Intelligence as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning / Data Science/ Artificial Intelligence course I would highly recommend this institute

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Natural Language Processing (NLP) Course FAQs

Looking for better Discount Price?

Call now: +9193833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Natural Language Processing (NLP) training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Natural Language Processing (NLP) Course At ACTE?

  • Natural Language Processing (NLP) Course in ACTE is designed & conducted by Natural Language Processing (NLP) experts with 10+ years of experience in the Natural Language Processing (NLP) domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Natural Language Processing (NLP) batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Natural Language Processing (NLP) . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at 93833 99991 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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