Natural Language Processing Trends in 2024

Natural Language Processing Trends in 2024

As technology continues to progress, artificial intelligence (AI) is steadily making its presence felt across diverse domains. AI has already delivered significant breakthroughs and is poised for further rapid advancement in the years ahead. Natural language processing, a branch of AI, empowers machines to comprehend and manipulate human language. With the proliferation of the internet and the swift evolution of information technology, Natural language processing trends have garnered substantial interest and evolved into a distinct discipline. The scope and applications of natural language processing trends have expanded considerably, encompassing machine translation, automated question answering, text categorization, and information retrieval.

In this article, we will explore the applications and natural language processing trends in 2024.

Natural language processing trends in 2024

Natural language processing is evolving rapidly, with several key trends shaping its development. Transformer-based models like BERT and GPT have revolutionized language understanding, while multimodal natural language processing integrates text, images, audio, and video for more comprehensive applications. Zero-shot and few-shot learning techniques enable models to generalize across tasks with minimal training data.

Domain-specific natural language processing tailors models to industries like law, medicine, and finance, improving performance on specialized tasks. Ethical considerations are increasingly important, with efforts to address biases and ensure fairness in natural language processing systems. Continual learning enables models to adapt to changing data distributions over time.

Low-resource and multilingual natural language processing focuses on improving performance in diverse linguistic settings. Explainable natural language processing techniques enhance model transparency and interpretability for better user trust and understanding. These natural language processing trends drive innovation in natural language processing, advancing language understanding, generation, and application across various domains while addressing ethical, linguistic, and interpretability challenges.

For the rest of the article, we will focus on the application of natural language processing trends in 2024 and beyond.

The use of chatbot

Customer service and experience are paramount for any company. It helps businesses improve their products and also make customers happy. But manually interacting with each customer and resolving issues can be a tedious task.

The natural language processing trends of chatbots can help solve this situation. Chatbots help companies achieve their goals of a smooth customer experience. Today, many companies use chatbots on their apps and websites, which can resolve basic queries of customers. This natural language processing trend not only makes the process easier for the company, but it also saves customers from the frustration of waiting to call customer service for help.

Additionally, it can reduce the cost of hiring customer service for your company. Initially, chatbots were just tools used to resolve customer queries, but today they have evolved into personal companions. From recommending products to getting customer feedback, chatbots can do everything.

Recruitment and job hunting

Human resources department is an integral part of every company. Their most important job is to select the right employees for the company.

But, today, in this competitive world, recruiters need to review hundreds or thousands of resumes for a single position. Screening resumes and shortlisting candidates can take hours. Can this task be automated?

With the help of this natural language processing trend, recruiters can easily find the right candidates. This means recruiters don’t have to go through every resume and manually filter out suitable candidates.

This technology can be used to extract information such as skills, name, location, and education. These features are then utilized to represent candidates in a feature space and classify them into categories that are suitable or unsuitable for a specific role. Alternatively, they can recommend a different role based on their resume.

This allows for unbiased screening of resumes and the selection of the most suitable candidates for open positions without requiring too much manpower. Most companies use an applicant tracking system to effectively screen resumes.

Valuable tools for teachers and students

One of the other natural language processing trends is in educational settings, artificial intelligence has the potential to revolutionize how educators teach and how students learn.

When ChatGPT was released, educators were concerned that students could use the tool to write essays and complete exams on behalf of them. To address this issue, ChatGPT is reportedly working on a type of digital watermark that would be embedded into the text created by the AI ​​platform. On the other hand, some educators view the release of ChatGPT as a call to advocate for the widespread adoption of AI tools in the classroom.

Some teachers are using sites like to supplement their teaching. These tools are designed to provide students with personalized, direct instruction without the need for a human teacher. They provide real-time feedback and adjust instruction based on student performance. is a chatbot that gives people the opportunity to chat with a character generated by artificial intelligence.

The use of natural language processing in retailers

Another natural language processing trend lies in the retail sector, which has the potential to reap huge benefits from the use of artificial intelligence. Retailers can use natural language processing to analyze customer feedback collected through in-store surveys, reviews, and social media mentions. By extracting insights from unstructured text data, retailers can understand customer sentiment, preferences, and pain points, enabling them to make data-driven decisions to improve the in-store experience.

Natural language processing enables voice-activated shopping experiences within physical stores, allowing customers to use voice commands to search for products, check availability, and place orders. Voice-enabled kiosks or devices equipped with Natural language processing capabilities can offer a convenient and hands-free shopping experience for customers.

Natural language processing is a very important subject, and its development history and future trends are full of challenges and opportunities. With the continuous innovation of technology and the growth of demand, the application fields of natural language processing will continue to expand, and related technologies will continue to be updated and upgraded. We expect natural language processing technology to better contribute to the development and progress of human society.

Next, you may be interested in this Natural Language Processing article by Oracle for more information.

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