Pointing to what is “likely to remain a complex investment landscape,” Scotia Capital analyst Phil Hardie continues to recommend taking “a barbell approach” to investing in Canadian diversified ...

Using data extracted ... and review sentiment. This research was conducted as part of the Marketing Analytics Master's Program at Tilburg University. ├── README.md ├── .gitignore ├── 1-notebooks │ ├── ...

Google Cloud NLP for text analysis. • IBM Watson for sentiment shifts through AI. • FinSentS for extracting financial insights from sentiment data. • Coytx.com for analyzing community sentiment.

Read here for an update on the latest shifts in market sentiment: bullish at 21.9%, neutral at 22.5%, and bearish at 55.6%.

With consumers and businesses alike worried about tariffs, economists are looking to see if “soft data” like recent weak consumer sentiment surveys will feed into “hard data” reports like retail sales ...

Explore the importance of sentiment in credit union communications. Clear messaging can reduce member frustration and ...

One of the top Python libraries for sentiment analysis is Pattern, which is a multipurpose library that can handle NLP, data mining, network analysis, machine learning, and visualization.