Apart from cognitive technologies such as machine learning, natural language processing (NLP) in all of its manifestations is one of the most visible forms of artificial intelligence that exists. NLP has been influential since its inception in facilitating text analytics and the demand for this technology only seems to be growing with every passing day. The entire NLP suite of technologies is also making an impact in progressive speech to text and semantic search use cases as well. Combining the features of artificial intelligence and computational linguistics, NLP is attempting to bridge the gap between computers and humans by enabling computers to seamlessly recognize and analyze the input speech and process what it means.
NLP is being used to empower computers to manipulate human language to generate text, extract meaning and make interactions with ease through voice-enabled AI and conversational intelligence technologies. The technology is making great strides in changing the way business enterprises function in the current era. Applications are being built leveraging the advantages that NLP offers through speech recognition by converting spoken language to text, answering questions through intelligent chatbots and sentiment analysis. NLP solutions are also the key performance drivers for business organizations as they understand and deploy the art of placing revenue-selling ads on social media and e-commerce with custom market intelligence solutions. Business, e-commerce, travel and automotive industries greatly benefit from the semantic machines that offer solutions in the NLP, speech recognition, semantic understanding, speech synthesis, deep learning, machine learning and the linguistic domains.
NLP has found its way into chatbots, translation applications and social media monitoring tools that scan Facebook and Twitter. The plethora of natural language technologies available will continue to mold the communication capacity of cognitive computing through the applications of deep learning and machine learning. Data science methods are being developed toward mapping and analyzing social systems to enable new forms of human networks based on NLP, network science and machine learning.
Business Intelligence is another sector that will see the entry of NLP to monitor customer sentiments through social data. With improvements in speech recognition technology using NLP, audio-video sources will offer immense data analysis expanding the scope of BI into all aspects of business. The exponential growth of social and mobile data is catapulting businesses to utilize smart search engines with NLP to understand customer attitudes, preferences and even moods to assess and evaluate the market that they are reaching out to.
As NLP matures across the various industries, it is expected to break down the obstacles to analytics adoption across organizations and further embed into the core of workplace culture and normal human activities. In this scenario, it is imperative for CIOs to find a promising NLP startup that fits in with their intelligence requirements. A distinguished panel of CIOs, CEOs, analysts and StartupCity magazine’s diligent editorial team has put together a list of the prominent startups in the NLP domain.
We present to you, “15 Most Promising NLP Startups-2019.”
