Sentiment Analysis
SentimenticsTM
Sentimentics™ is a customizable system designed for sentiment analysis of Companies on the web. Sentiments can be identified as positive, neutral, or negative comments on the web from any publicly accessible site or app where users post comments including Twittter, Facebook, LinkedIn, Instagram, Glassdoor, Angie’s list etc. Resulting analyses are displayed as easy to use graphs for simple interpretation data.
Sentimentics™ is built on a capabilities framework, which involves complex logic & processes like Online Crawler, Big Data, Data Mining and Machine Learning Data Analysis, Sentiment categorization, Visualization, Features and Improvements, Identifying Fraudulent comments, Comparative comments, etc.
Web URLs are variable parameters defined in configuration files – at anytime new web URL can be added or removed from web crawling and data mining; Categorization of the Sentiments are predefined; Sentiments are defined as positive and negatives words as per the AFINN dictionary; Automatic schedule to run the sentiment data analysis of to produce reports; The end reports can be produced in the form of Graphs, data is spreadsheets for further processing; Sentiment tracking can use multiple dimensions for analysis to allow for proactive, customer insight driven actions.