Sentiments, feelings and emotions are an integral part of human nature. Over 2.5 quintillion bytes of data are created every single day.Also known as opinion mining or emotion AI, sentiment analysis determines whether a text is positive, negative or neutral by extracting particular words or phrases. An invaluable tool for companies, sentiment analysis provides helpful insights that drive effective business strategy. Language is often vague or highly contextual, making it very difficult for a machine to understand without human help. As such, human annotated data is essential when training a machine learning platform to analyze sentiment.
Topic Modelling is one of the tools we use to analyse text data in structured, ordered and quantifiable manner. At the beginning of the process, the analyst is faced with a mass of unorganised documents. Post-analysis, one can expect a structured list of topics, with detailed information about the frequency, related topics and sentiment. We can glean customer insights almost instantly.
At CodeArt our team of prequalified contributors provide fast and high-quality sentiment annotation services. We will help in processing of natural languages like English & French to gain valuable insights like sentiment analysis and topic modelling.