Sentence examples for identifying the sentiments from inspiring English sources

SA is explained as identifying the sentiments of people about a topic and its features (Pang and Lillian 2008).

They then extracted features useful in identifying the sentiment, such as the presence of smileys, exclamation marks, and words with positive or negative connotations.

But this more granular analysis will allow users to identify the sentiment of specific words.

The researchers over at OpenAI were able to use a recurrent mLSTM character-level model trained on Amazon reviews to identify the sentiment of blocks of text.

This is bigger than big data, because the compressed signal of behavior moves ahead of the raw data in identifying the underlying sentiment.

Similarly, Ackert et al. (2016) manually set up keywords reflecting bullish or bearish market sentiments and then used a program to identify the market sentiments reflected in the posts, thereby building an indicator for trends in market sentiments.

Statistical analysis techniques are also unsupervised, identifying the orientation of sentiment words through statistical evaluations.

Influence analysis are the extensions of aspect-based sentiment analysis identifying the influence of an entity on another (Nguyen et al. 2015; Rabade et al. 2014).

I imagine that the majority of people who have read Egan's work can identify with the sentiment.

Countless soldiers surely identified with the sentiment, back in the day, but Abraham Lincoln also used it at campaign rallies – it was never the official anthem of the Confederacy.

Search engines are used to identify the orientation of sentiment words that are missing in the dictionary.