The natural language process(NLP) is a branch of artificial intelligence that concerns the interaction between hardware, computers, and human-readable language. The significant work field of it is to set programs for computers to proceed and analyze natural language data. It interprets and manipulates the human language.
We are living in the era of advanced technology such as big data, efficient and powerful computing, enhanced algorithmic systems. Tons of languages exist all over the world. Different people speak in several types of languages. Unlikely, the computer has the only language that is known as machine code, including full of zeros and ones. For most of us, these are indecipherable indeed.
About 70 years ago, there were made the first try from programmers to communicate through a manual and strenuous process. But still, that was decipherable to some group of people. By the time-flow, this process got better and better. Consequently, we have stood on the Alexa-play-a-song world. These all are now possible through NLP, including AI elements like machine learning, deep learning.
The significant values it serves- manipulating a large bunch of textual data and structuring tons of unstructured data sources.
Nowadays, for the sake of advanced technology, modern developments in NLP needs rarely a big chunk of training data than ever past. NLP deploys the deep learning models as well as dominates the conventional algorithm process in sentiment analysis, accurate text analytics, conversational AI, etc., use cases.
Modern evolutions in Natural language processing require a comparatively fewer quantity of training data than ever before. Besides deploying these deep learning models, it also replaces the conventional rule-based algorithms for more accurate text analytics, sentiment analysis, conversational AI, and other use cases. Now, let’s find the top trends of natural language processing for next year.
1. Collaboration between supervised learning and unsupervised learning
A healthy combination of supervised and unsupervised learning supports natural language processing. Likely, text analytics takes the chance from this combination to understand better the technical terms in the documentation and other parts of it.
2. Market Intelligence Monitoring System
The natural language process plays a vital role in tracking and monitoring market intelligence that extracts intelligent information for future strategy formulation. In this modern world, this technology is widely used in the financial market. It brings out a deep insight into market sentiments and tender delays from large repositories.
3. Intelligent Semantic Search
A smooth semantic search is another big trend to impact NLP in the upcoming days. This search collaborates natural language processing with a natural language understanding that requires a comprehension of the core ideas that are containing within the text.
4. Sentiment Analysis for Social Media
NLP is a vital tool for sensing and analyzing the audience responses, feedbacks on social media platforms. It is also famous for the name of opinion mining that can analyze the attitude of users and can detect the emotional state. If you are happy or sad, NLP can identify the phases while analyzing. For that, the most popular social media platforms are significant sources of tracing the users-data, including posts, videos, photos, etc. With the motto of having the unstructured, unusable data into the hands for fair uses and effectively mine them.
5. Immersive growth in Virtual Assistants including Chatbots
Till to date, the chatbots and other virtual assistants market is going to robust and globally popular. Continuing the list from Alexa, Cortana, the world is going to witness a lot more advanced virtual assistant through natural language processing. Furthermore, the chatbot market had sized $2.6 billion in the previous year. Also, it is predicted to reach $9.4 billion by 2024.
NLP is one of the best performing technologies of AI. It has removed the communication barriers that have been happening between machines and humans. The potential of NLP you will barely find in today’s other technology. For these, a computer can analyze the data faster, answer the user’s queries accurately. As a result, this system is revolutionizing to fasten our communication with machines for an advanced future.