Natural Language Processing
The Natural Language Processing Research Group , established in 1993 , is one of the largest and most successful language processing groups in the UK and has a strong global reputation.
Natural Language Processing (NLP) is an interdisciplinary field that uses computational methods:
To investigate the properties of written human language and to model the cognitive mechanisms underlying the understanding and production of written language (scientific focus)
To develop novel practical applications involving the intelligent processing of written human language by computer (engineering focus)
Research Themes Information AccessBuilding applications to improve access to information in massive text collections, such as the web, newswires and the scientific literature
Language Resources and Architectures for NLPProviding resources - both data and processing resources - for research and development in NLP. Includes platforms for developing and deploying real world language processing applications, most notably GATE, the General Architecture for Text Engineering.
Machine TranslationBuilding applications to translate automatically between human languages, allowing access to the vast amount of information written in foreign languages and easier communication between speakers of different languages.
Human-Computer Dialogue Systems Building systems to allow spoken language interaction with computers or embodied conversational agents, with applications in areas such as keyboard-free access to information, games and entertainment, articifial companions. Detection of Reuse and AnomalyInvestigating techniques for determining when texts or portions of texts have been reused or where portions of text do not fit with surrounding text. These techniques have applications in areas such as plagiarism and authorship detection and in discovery of hidden content.
Foundational TopicsDeveloping applications with human-like capabilities for processing language requires progress in foundational topics in language processing. Areas of interest include: word sense disambiguation, semantics of time and events.
NLP for social mediaSocial Media, Online Disinformation, and Elections: A Quantitative, "Big Data" Perspective.
Biomedical Text ProcessingGATE in Biomedical Text Processing
Core membersAcademic staff
Senior research staff
Research staffHere you can find research publications for the Natural Language Processing Research Group, listed by academic. The head link navigates to the official web page for the relevant academic (with highlighted favourite publications). The remaining links navigate to their DBLP author page, their Google Scholar citations page and optionally a self-maintained publications page.
Academic staffNatural Language Processing Market Size, Industry Share, Business Growth, Report 2023-2028
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May 09, 2023 (SUPER MARKET RESEARCH via COMTEX) -- IMARC Group, a leading market research company, has recently releases report titled "Natural Language Processing Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028." The study provides a detailed analysis of the industry, including the global natural language processing market share, size, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.
Report Highlights
How Big is the Natural Language Processing Market?
The global natural language processing (NLP) market size reached US$ 18.1 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 74.3 Billion by 2028, exhibiting a growth rate (CAGR) of 26.2% during 2023-2028.
What is Natural Language Processing?
Natural language processing (NLP) is a branch of computer science and artificial intelligence (AI) that enables computers to understand characters, sentences, and words and interpret spoken and written human language. It allows users to have human-like conversations with a computer directly using algorithms and help computers accurately recognize and respond to human communication. It also provides several benefits, such as better data analysis, streamlined processes in real-time, reduced costs, and improved customer satisfaction. As a result, NLP finds extensive applications in research and education, automotive, retail and consumer goods, manufacturing, information technology (IT) and telecom, government, banking, financial services, and insurance (BFSI), health care and life sciences, and media and entertainment industries.
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What are the growth prospects and trends in the Natural Language Processing Industry?
The market is primarily driven by the escalating demand for NPL as it helps perform speech recognition, translate text from one language to another, summarize large volumes of textual data, and increase overall productivity. As a result, corporations are rapidly adopting NLP solutions to enhance their operations with customer service chatbots, virtual assistants, voice-operated GPS systems, voice-to-text apps, and other computer programs.
In addition, the growing digitization of data and the increasing usage of the internet and connected devices are contributing to market growth. Moreover, the widespread adoption of NLP in healthcare and call centers to handle massive volumes of generated data is providing a thrust to market growth.
Furthermore, numerous social media platforms are employing text analytics and NLP technologies to organize published content and monitor activities, including political reviews and hate speeches, which is propelling the market growth.
What is included in market segmentation?
The report has segmented the market into the following categories:
Breakup by Type:HardwareSoftwareServices
Breakup by Technology:Interactive Voice ResponseOptical Character RecognitionText AnalyticsSpeech AnalyticsClassification and CategorizationPattern and Image RecognitionOthers
Breakup by Deployment Mode:On-premisesCloud-based
Breakup by Organization Size:Large EnterprisesSmall and Medium-sized Enterprises
Breakup by End User:EducationBFSIHealthcareIT and TelecomManufacturing and RetailMedia and EntertainmentOthers
Breakup by Region:North America: (United States, Canada)Asia Pacific: (China, Japan, India, South Korea, Australia, Indonesia, Others)Europe: (Germany, France, United Kingdom, Italy, Spain, Russia, Others)Latin America: (Brazil, Mexico, Others)Middle East and Africa
Who are the key players operating in the industry?
The report covers the major market players including:
3M Company, Apple Inc., FUJIFILM Holdings Corporation, Google LLC (Alphabet Inc.), Intel Corporation, International Business Machines Corporation, Meta Platforms Inc., Microsoft Corporation, NetBase Solutions Inc., Nokia Corporation, SAS Institute Inc. And Verint Systems.
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About Us
IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.
IMARC Group's information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the company's expertise.
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The post Natural Language Processing Market Size, Industry Share, Business Growth, Report 2023-2028 appeared first on Super Market Research.
COMTEX_432180133/2607/2023-05-09T12:57:11
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Natural Language Processing For Finance Market Research Analysis 2023-2031
The MarketWatch News Department was not involved in the creation of this content.
Apr 26, 2023 (The Expresswire) -- The latest market research report on the Global "Natural Language Processing for Finance Market" is segmented by Regions, Country, Company and other Segments. The global Natural Language Processing for Finance market is dominated by key Players, such as [Bloomberg, Yahoo, Google Finance, Bank of America, ICBC, JP Morgan, Ant Group] these players have adopted various strategies to increase their market penetration and strengthen their position in the industry. Stake holders and other participants in the global Natural Language Processing for Finance market will be able to gain the upper hand by using the report as a powerful resource for their business needs.
What is the Natural Language Processing for Finance market growth?
Natural Language Processing for Finance Market Size is projected to Reach Multimillion USD by 2030, In comparison to 2023, at unexpected CAGR during the forecast Period 2023-2030.
Browse Detailed TOC, Tables and Figures with Charts which is spread across ManyPages that provides exclusive data, information, vital statistics, trends, and competitive landscape details in this niche sector.
Client Focus
1. Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the Natural Language Processing for Finance market?
Yes. As the COVID-19 and the Russia-Ukraine war are profoundly affecting the global supply chain relationship and raw material price system, we have definitely taken them into consideration throughout the research, and in Chapters, we elaborate at full length on the impact of the pandemic and the war on the Natural Language Processing for Finance Industry
Final Report will add the analysis of the impact of Russia-Ukraine War and COVID-19 on this Natural Language Processing for Finance Industry.
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This research report is the result of an extensive primary and secondary research effort into the Natural Language Processing for Finance market. It provides a thorough overview of the market's current and future objectives, along with a competitive analysis of the industry, broken down by application, type and regional trends. It also provides a dashboard overview of the past and present performance of leading companies. A variety of methodologies and analyses are used in the research to ensure accurate and comprehensive information about the Natural Language Processing for Finance Market.
Which are the driving factors of the Natural Language Processing for Finance market?
Growing demand for [Commercial Banks, Investment Banks, Asset Management Company, Individual Investors] around the world has had a direct impact on the growth of the Natural Language Processing for Finance
The Natural Language Processing for Finance segments and sub-section of the market are illuminated below:
Based on Product Types the Market is categorized into [, Sentiment Analysis, Name Matching and KYC, Sell-Side Research, Document Management, Risk Monitoring, Credit Scoring, Customer Service, ] that held the largest Natural Language Processing for Finance market share In 2022.
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Natural Language Processing for Finance Market - Competitive and Segmentation Analysis:
2.How do you determine the list of the key players included in the report?
With the aim of clearly revealing the competitive situation of the industry, we concretely analyze not only the leading enterprises that have a voice on a global scale, but also the regional small and medium-sized companies that play key roles and have plenty of potential growth.
Short Description About Natural Language Processing for Finance Market:
The Global Natural Language Processing for Finance market is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2030. In 2021, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Natural Language Processing for Finance. The market in North America is expected to grow considerably during the forecast period. The high adoption of advanced technology and the presence of large players in this region are likely to create ample growth opportunities for the market.
Europe also play important roles in global market, with a magnificent growth in CAGR During the Forecast period 2022-2029.
Natural Language Processing for Finance Market size is projected to reach Multimillion USD by 2029, In comparison to 2022, at unexpected CAGR during 2022-2029.
Despite the presence of intense competition, due to the global recovery trend is clear, investors are still optimistic about this area, and it will still be more new investments entering the field in the future.
This report focuses on the Natural Language Processing for Finance in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
The report focuses on the Natural Language Processing for Finance market size, segment size (mainly covering product type, application, and geography), competitor landscape, recent status, and development trends. Furthermore, the report provides detailed cost analysis, supply chain.
Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Consumer behavior analysis and market dynamics (drivers, restraints, opportunities) provides crucial information for knowing the Natural Language Processing for Finance market.
Get a Sample Copy of the Natural Language Processing for Finance Report 2023
3.What are your main data sources?
Both Primary and Secondary data sources are being used while compiling the report.
Primary sources include extensive interviews of key opinion leaders and industry experts (such as experienced front-line staff, directors, CEOs, and marketing executives), downstream distributors, as well as end-users. Secondary sources include the research of the annual and financial reports of the top companies, public files, new journals, etc. We also cooperate with some third-party databases.
Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast (2017-2027) of the following regions are covered in Chapters:
● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam) ● South America (Brazil, Argentina, Columbia etc.) ● Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)This Natural Language Processing for Finance Market Research/Analysis Report Contains Answers to your following Questions
● What are the global trends in the Natural Language Processing for Finance market? Would the market witness an increase or decline in the demand in the coming years? ● What is the estimated demand for different types of products in Natural Language Processing for Finance? What are the upcoming industry applications and trends for Natural Language Processing for Finance market? ● What Are Projections of Global Natural Language Processing for Finance Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export? ● Where will the strategic developments take the industry in the mid to long-term? ● What are the factors contributing to the final price of Natural Language Processing for Finance? What are the raw materials used for Natural Language Processing for Finance manufacturing? ● How big is the opportunity for the Natural Language Processing for Finance market? How will the increasing adoption of Natural Language Processing for Finance for mining impact the growth rate of the overall market? ● How much is the global Natural Language Processing for Finance market worth? What was the value of the market In 2020? ● Who are the major players operating in the Natural Language Processing for Finance market? Which companies are the front runners? ● Which are the recent industry trends that can be implemented to generate additional revenue streams? ● What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for Natural Language Processing for Finance Industry?Customization of the Report
Can I modify the scope of the report and customize it to suit my requirements?
Yes. Customized requirements of multi-dimensional, deep-level and high-quality can help our customers precisely grasp market opportunities, effortlessly confront market challenges, properly formulate market strategies and act promptly, thus to win them sufficient time and space for market competition.
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Detailed TOC of Global Natural Language Processing for Finance Market Insights and Forecast to 2030
Major Points from Table of Contents
Global Natural Language Processing for Finance Market Research Report 2023-2030, by Manufacturers, Regions, Types and Applications
1 Introduction1.1 Objective of the Study1.2 Definition of the Market1.3 Market Scope1.3.1 Market Segment by Type, Application and Marketing Channel1.3.2 Major Regions Covered (North America, Europe, Asia Pacific, Mid East and Africa)1.4 Years Considered for the Study (2015-2030)1.5 Currency Considered (U.S. Dollar)1.6 Stakeholders
2 Key Findings of the Study
3 Market Dynamics3.1 Driving Factors for this Market3.2 Factors Challenging the Market3.3 Opportunities of the Global Natural Language Processing for Finance Market (Regions, Growing/Emerging Downstream Market Analysis)3.4 Technological and Market Developments in the Natural Language Processing for Finance Market3.5 Industry News by Region3.6 Regulatory Scenario by Region/Country3.7 Market Investment Scenario Strategic Recommendations Analysis
4 Value Chain of the Natural Language Processing for Finance Market
4.1 Value Chain Status4.2 Upstream Raw Material Analysis4.3 Midstream Major Company Analysis (by Manufacturing Base, by Product Type)4.4 Distributors/Traders4.5 Downstream Major Customer Analysis (by Region)
5 Global Natural Language Processing for Finance Market-Segmentation by Type6 Global Natural Language Processing for Finance Market-Segmentation by Application
7 Global Natural Language Processing for Finance Market-Segmentation by Marketing Channel7.1 Traditional Marketing Channel (Offline)7.2 Online Channel
8 Competitive Intelligence Company Profiles
9 Global Natural Language Processing for Finance Market-Segmentation by Geography
9.1 North America9.2 Europe9.3 Asia-Pacific9.4 Latin America
9.5 Middle East and Africa
10 Future Forecast of the Global Natural Language Processing for Finance Market from 2023-2030
10.1 Future Forecast of the Global Natural Language Processing for Finance Market from 2023-2030 Segment by Region10.2 Global Natural Language Processing for Finance Production and Growth Rate Forecast by Type (2023-2030)10.3 Global Natural Language Processing for Finance Consumption and Growth Rate Forecast by Application (2023-2030)
11 Appendix11.1 Methodology12.2 Research Data Source
Continued….
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