The application is a cloud service that provides the functionality of performing sentiment analysis on stock market and financial data. The application can be hosted on Google App Engine and makes use of many of the GAE services like Search Service, MemCache, DataStore etc. Given the name of a company, data from various sources like Twitter, Facebook Graph, Google News, Google Finance etc is aggregated. For each source, different models have been pretrained using some prior data. Using different models provided us with a chance to utilize different Machine Learning methodologies based on the type of data from each source. The various techniques that we have built and tested on are :Naive Bayes, Multinomial and Bernoulli text representations, KNN.

A very simple search engine "specialised" in searching financial news.

A search engine for financial news in sohu, tonghuashun, qq, sina, cnstock and eastmoney.

No description available

A repository containg financial news articles in Chinese from search engine

A search engine for corporate risk analysis using financial data and live news sentiment.

No description available

Data collector, indexer and search engine on worldwide financial news articles.

This program is a search engine for a large collection of financial news articles.

Search engine for dataset of over 300K financial news articles through the terminal in C++

Exploration of financial data: tick data for portfolio optimisation to engine search and news data for sentiment analysis

Semantic Search Engine for Financial Announcements: An NLP-powered tool to retrieve and analyze over 1,800 corporate news entries using sentence embeddings.