Robosoup is a London based machine learning consultancy that helps organisations create value from their data.
Working with your existing technology team, we create bespoke solutions and provide training to bring the next generation of smart technology to your enterprise.
By automating away mundane tasks currently performed by humans, we free your workforce to focus on activities that add greater value.
Driven by recent breakthroughs in deep learning research, machines can now understand and analyse human language better than ever before. Fuelled by the increased availability of data, faster hardware and new learning algorithms, natural language processing will continue to progress rapidly over the next few years.
Machines will become exceptional at classifying images and text, extracting structured data, translating between languages and having meaningful conversations with customers. The business applications of such advances are limitless.
Here are some examples happening right now:
Use sentiment analysis to detect positive or negative feelings in text, allowing you to monitor what customers truly think about your products on social media. Until recently, sentiment analysis was based on brittle rules that could not easily handle negation or information split across sentences. We can now predict sentiment based on the underlying meaning of text, leading to much better accuracy.
Allow customers to deal with your company through conversational chat interfaces (or chatbots). For example, a chatbot could handle common customer service inquiries, fulfil orders or make product recommendations. Allow humans and machines to work together, letting humans handle what the machine does not yet know, thereby teaching it new skills over time.
Valuable information is often hidden in unstructured text, but most software can only analyse structured data. Use natural language processing techniques to automatically extract facts from unstructured text, build a database or knowledge graph and feed the resulting structured data into standard applications like spreadsheet software or data visualisation tools.
Building machine translation systems used to take years of engineering effort and a combination of sophisticated machine learning techniques. Using the vast amount of multilingual data available today, we can now train a neural network to translate automatically between various languages, saving cost and reducing engineering effort, whilst improving performance and accuracy at the same time.
Classify reviews, customer service conversations, news articles, sales emails and other types of text into useful categories based on the meaning of the text. Automatically tag sentences or entire documents with meaningful descriptions.
These are just a few examples of how machine learning could help your business grow.
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