id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3r5hnn4c4fhgvg2epficptavh4	Shilpa Gite	Explainable stock prices prediction from financial news articles using sentiment analysis	2021	21	.pdf	application/pdf	7901	962	66	(LSTM)—to use them to predict the stock prices with a high level of accuracy. tool to learn and predict temporal data having long term dependencies. the LSTM model uses historical stock data along with sentiments from news items to Keywords Long Short-Term Memory (LSTM), Explainable AI(XAI), Stock price prediction, the Daily Prediction model and historical data from 2003 obtained from Yahoo finance is to separate rule base data from the text while the RNN-LSTM model is utilized to get the Neural Networks, Support Vector Machines, and Case-Based Reasoning models, they Figure 2 System Architecture of Stock Market Prediction using LSTM and XAI. LSTM CNN model for news headlines As represented in Fig. 9, after training the model and obtaining predictions the explainer Figure 10 Loss LSTM -CNN model for News Headlines. The loss values for the LSTM-CNN model Stock market prediction using LSTM recurrent neural network. Prediction models for Indian Stock market.	./cache/work_3r5hnn4c4fhgvg2epficptavh4.pdf	./txt/work_3r5hnn4c4fhgvg2epficptavh4.txt