**4. Natural language processing**

Natural language refers to the language that humans use to communicate with each other, such as Bahasa Indonesia, English, Spanish, French, or any other language spoken by people. It encompasses the words, grammar, and syntax used in everyday conversations and written texts. Natural language is the form of communication that humans use to express their thoughts, ideas, and emotions [18]. It is characterized by its complexity, variability, and the ability to convey meaning through words, sentences, and discourse. Natural language encompasses various aspects, including

vocabulary, grammar, syntax, semantics, and pragmatics [19]. Natural language processing (NLP) is a field of study that focuses on enabling computers to understand, interpret, and generate human language in a way that is similar to how humans communicate with each other. The aim of natural language processing typically involves constructing a structured representation of unstructured natural language, drawing on insights from linguistics to add organization and coherence to the text [20]. In the field of natural language processing (NLP), researchers and engineers develop algorithms and systems that enable computers to understand, analyze, and generate natural language. This involves applying linguistic and computational techniques to process and interpret text or speech data.

The increased use of natural language or natural language processing that is more similar to human language in video content and AI interactions has transformed the way humans interact with technology. AI technology has made significant advancements in understanding and generating human-like language, enabling more natural and seamless interactions [21]. This technology has improved content discovery and recommendation systems. AI algorithms analyze video metadata, transcripts, subtitles, and user behavior to understand the content and user preferences. This allows for personalized recommendations based on users' interests and viewing history. It can also analyze video transcripts, extract key information, and generate concise summaries or highlight reels. This capability is useful for video platforms, sport broadcasts, news programs, and other content where users may want a quick overview or highlights without watching the entire video. Furthermore, here's how it generates the interaction between humans and technology, especially for video and television industry:

### **4.1 Voice-based assistants**

Voice-based assistants in the video and television industry refer to the integration of voice-controlled features and functionalities within video streaming platforms, smart TVs, and other media devices [22]. These assistants support the user experience by permitting viewers to control and interact with their video content using voice commands. They provide a hands-free and convenient way for users to navigate through menus, search for specific shows or movies, and control playback options. Viewers can simply speak their commands, such as "Play the latest episode of my favorite series" or "Find action movies starring Vin Diesel," and the voice-based assistant will execute the requested action. It also assists personalized recommendations based on user preferences and viewing history. By analyzing the user's voice commands and interactions, these assistants can suggest relevant content that aligns with the viewer's interests, leading to a more tailored and engaging viewing experience. Furthermore, voice-based assistants can provide additional information and context while watching video content. For example, viewers can ask for real-time information about the actors on screen, background details about a particular scene, or even trivia about the show or movie they are watching. It simplifies the interaction between viewers and the content, allowing for a more immersive and interactive experience using natural language commands. Popular examples of AI-powered voice assistants include Amazon's Alexa, Apple's Siri, Google Assistant, and Microsoft's Cortana.

#### **4.2 Chatbots and virtual agents**

Chatbots and virtual agents are computer programs designed to simulate human conversation and provide automated responses to user queries and requests. In the

## *Language Context in the Future of Television and Video Industry: Exploring Trends… DOI: http://dx.doi.org/10.5772/intechopen.113309*

context of the video and television industry, chatbots and virtual agents are utilized to interact with viewers, assist them with inquiries, and amplify their overall experience. Chatbots are typically implemented through messaging platforms or embedded within websites or applications. They can engage in text-based conversations with users, answer frequently asked questions, provide recommendations, and offer customer support. Chatbots are programmed with predefined responses based on common queries, and they can use natural language processing techniques to understand and interpret user input [23]. Virtual agents, on the other hand, are more sophisticated and advanced versions of chatbots. They often incorporate artificial intelligence and machine-learning algorithms to understand and respond to user queries in a more context-aware and personalized manner. Virtual agents can handle more complex tasks, such as providing detailed information about shows, helping users navigate through content catalogs, and even engaging in more conversational interactions.

The use of chatbots and virtual agents in the video and television industry offers several benefits. They can provide immediate assistance to users, addressing their queries and concerns in a timely manner. Chatbots and virtual agents can also handle a large volume of interactions simultaneously, ensuring efficient customer service and support. Additionally, chatbots and virtual agents can collect valuable data and insights about user preferences, behavior, and feedback. This data can be used to improve content recommendations, personalize the user experience, and optimize marketing strategies. Overall, chatbots and virtual agents play a vital role in the video and television industry by automating customer interactions, improving user engagement, and providing efficient support services. They contribute to a more seamless and interactive viewing experience for viewers.

## **4.3 Natural language understanding**

Natural Language Understanding (NLU) refers to the capability of a computer system to understand and interpret human language in a way that is similar to how humans understand it [24]. It is a subfield of artificial intelligence and computational linguistics that focuses on empowering machines to comprehend and derive meaning from natural language inputs. NLU involves the use of algorithms and techniques to process and analyze text or speech data and extract relevant information from it. The goal is to enable computers to understand the context, semantics, and intent behind human language, allowing them to respond appropriately and take relevant actions. The model can extract meaning, context, and intent from user inputs, allowing systems to provide more accurate and relevant responses. It augments the overall user experience by enabling more natural and meaningful interactions. NLU techniques encompass various tasks, such as categorizing text into predefined categories or topics based on its content, identifying and extracting specific entities, determining the sentiment or opinion expressed in text, understanding the purpose or intention behind a user's input, and building statistical models that capture the patterns and structure of natural language [25]. This system has essential contribution to the development of the video and television industry.

#### **4.4 Voice-over technologies**

Voice-over technologies relate to the tools and techniques used to record and synchronize spoken narration or dialog with visual content, such as videos, films, animations, or presentations. In voice-over, a voice actor or narrator provides an audio track that complements or boots the visual elements of the content. It facilitates the recording, editing, and mixing of voice recordings to create a seamless integration between the spoken words and the visual media. These technologies often involve professional recording studios, high-quality microphones, audio editing software, and audio mixing equipment to achieve optimal sound quality and clarity. Furthermore, they provide flexibility and versatility in adapting content for different audiences, languages, and cultural contexts. They play an important involvement in delivering effective communication, enhancing storytelling, and creating immersive audiovisual experiences.

#### **4.5 Language generation and content creation**

Language generation and content creation point to the process of using artificial intelligence and natural language processing techniques to generate human-like text and create various forms of content [26]. This includes generating written articles, blog posts, product descriptions, social media posts, and other forms of textual content using algorithms and machine-learning models. These technologies are designed to understand human language, mimic human writing styles, and produce coherent and relevant content that can be used in various applications such as marketing, advertising, and content production. This technology streamlines content production processes, allowing for the creation of engaging and informative video content in a more efficient manner.

#### **4.6 Multimodal interactions**

Multimodal interactions refer to the communication or interaction that involves multiple modes of input and output, such as speech, gestures, facial expressions, touch, and visuals [27]. It allows users to immerse in technology or systems using various modalities simultaneously or interchangeably. For example, a multimodal interaction system may allow users to give commands through voice while also using gestures or touch to navigate or manipulate content. This approach improves the naturalness and effectiveness of human-computer interactions, as it leverages multiple channels of communication to provide a more comprehensive and intuitive user experience. It is also used to communicate with technology in a holistic and natural manner, optimizing the user experience and making technology more accessible to an expanded audience, especially for the video and television industry.

The use of natural language or language that is more similar to human language in video content and AI interactions improves the human-technology interaction by assisting in more intuitive, conversational, and personalized experiences. As AI continues to advance, we can expect even more sophisticated language models and systems that seamlessly integrate into our daily lives, augmenting our interactions with technology. Moreover, the integration of natural language or language that closely resembles human language in video content and AI interactions advance the interaction between humans and technology. This leads to more intuitive, conversational, and personalized experiences.
