Introduction to NLP and Best APIs for Integration in AI Product
What is NLP
“Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data". Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.” –
Symbl.ai
Symbl provides real-time call recording and converts audio, video, and chat data to generate summaries, sentiments, topics, intents, and real-time captions in your applications.
Using the Trackers API from Symbl, you can use audio recordings to track key moments in a conversation. This can be used either while the conversation is still going on, or asynchronously after the conversation is over. The Tracker API can track single-word keywords and phrases up to full sentences, depending on your needs for the conversation. Regardless of what patterns you provide, Symbl will trace the meaning of those patterns, creating a complete context of what you were discussing.
For example, “I don’t have any money” is contextually similar to “I ran out of budget” as both represent similar inherent meaning, but Symbl can generalize this scope of meaning and contextually evaluate occurrences whenever there’s a mention of running out of money to give you tracking mechanism that’s easy to use and lightning fast in real-time with Streaming API. Link
IBM Watson
Watson Discovery is an AI-powered intelligent hunt.
The IBM Watson Speech-to-Text service provides speech recap capabilities for your operations. The service leverages machine literacy to combine knowledge of the alphabet, language structure, and composition of audio and voice signals to directly translate the mortal voice. It continuously updates and refines its recap as it receives further speeches.
The service provides APIs that make it suitable for any operation where speech is the input and a textual paraphrase is an affair. It can be used for operations similar to voice-automated chatbots, logical tools for client-service call centers, and multimedia recap. Voice control of bedded bias, transcription of meetings and conference calls and decreeing dispatches and notes are also possible operations, among numerous others.
The service is ideal for guests who need to prize high-quality speech reiterations from call center audio. In diligence similar to that of fiscal services, healthcare, insurance, and telecommunication, guests can develop pall-native operations for client care, client voice, agent backing, and other results. Link
Audo.ai
Audo API is a stylish way to ameliorate your listening experience. This API removes all background noise to give you clear and comprehensible speech recordings against any background.
Audo can mute annoying background noise like street traffic, dogs barking, microphone buzz, and everything in between.
Basically, it is an SDK API that is simply integrated with the product. Its use cases:
- In the customer care call center services where n number of agents are in an office and are talking to the client.
- In the meeting of the office team, basically working from home is admired by many companies, so noise cancellation is very useful for their team also. Link
Rev.ai
Rev AI’s suite of speech-to-text APIs allows businesses to build powerful downstream applications.
Rev gives real-time and asynchronous transcripts of the audio. Basically, it generates transcription in real-time as audio or video is streamed. gives sentiment analysis, topic extraction, and language identification APIs.
predicts the predominant language used in an audio or video file and supports 22 human languages. Link
OneAi.com
OneAi language skills are API-packaged, use-case-ready, vertically pre-trained models. The API accepts texts and needed language processing as input, and responds with processed texts and extracted metadata as output.
Gives the highlight API that highlights key sentences and essential points in the text, Learns the implied sentiment of a given text, keyword detection, AI-generated text summaries that retain the important info, topic extraction, entity detection, clustering, topic split, and business entities. Link
Komprehend.io
Komprehend is a text analysis API. Basically, the most fascinating feature of this API is it detects sarcasm from the text sentence, sentiment analysis, semantic analysis, abusive analysis, emotion analysis, intent analysis, named entity recognition, keyword extraction, and text classification.
Komprehend emotion classification API gives happy, sad, bored, fear, angry and excited emotions. Where the unique thing is it gives the excited emotion, the use cases of these emotions are in the marketing field where the customer is excited to listen more about the company product. Link
Dolby.io
The Dolby.io Media Enhance API can help with an intelligent approach to noise management. There are multiple elements to the algorithm:
- noise reduction
- speech isolation
- hum reduction
With noise reduction, stationary background noise is suppressed. With speech isolation, speech is made louder relative to non-speech sounds. The presence of dialog is brought forward to make it more pronounced. With hum reduction, annoying background hum frequencies are identified and removed. Link
Comparison between all APIs
