Senti Analytics

Senti Analytics is an in-development web sentiment scraping analysis program using innovative AI software designed by Tom Myhill. Senti aims to revolutionise access to feedback recovery software for SME's who wish to understand their customer base, without the excessive upfront capital costs existing solutions face. Senti entered development in June 2018, the program runs off a Python core which scrapes the required information tethered to Java sentiment software by a local Swift server. This allows real-time sentiment determination alongside information recovery, reducing running times and capital overheads. Senti's sentiment analysis software uses recursive neural networks which process information as entire sentences, reducing sentiment tag error significantly. Ultimately, Senti aims to process information from all major news sources alongside Twitter, Facebook and Weibo. Production Timeline: June 2018 - Senti Founded August 2018 - Full Twitter functionality secured (Maximum 27,000 unique tweets processed/hour under developer license) September 2018 - Sentiment analysis tool training via recursive neural networks Senti currently holds a full developer license with Twitter and the Financial Times.