Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…
📋 Ionic-Angular app to fetch news articles from a REST API using Typescript interfaces to define the expected structure of the json objects returned & http service providers. Custom pipes used to modify API news article titles, contents and convert the Universal Time Constant (UTC) date string. Dark mode, Offline Storage of favourite articles & …
