Natural language generated weather forecastfrom time series of weather data

Sammanfattning: This thesis intends to determine how people understandand feel about natural language generated sentences, in this case natural language generated forecasts. This was done by building a server that pulled raw weather information from SMHI api, analysed it and generated weather forecasts.For evaluation, a survey was made and from the resulta conclusion was drawn that people are able to both understand and correlate the sentences that was generated to its information.