Sentence examples for user's sentiment from inspiring English sources

Algorithm SVM: The SVM based on the analysis of Twitter user's sentiment.

Syeda-Mahmood and Ponceleon [30] modeled implicit user activity according to the user's sentiment (e.g., user is bored, or interested).

Next, the user's sentiment scores were evaluated for the computed pheromone values with respect to the sentiment words with SentiWordNet.

We can use Pearson Correlation Coefficient [6] to see if there is a linear relation between a stock's future price and the user's sentiment.

Mosseri replied that while they don't track addiction they track a user's sentiment, and try to understand if people think their News Feed experience is time well spent.

The Pearson Correlation Coefficient between a stock price and a general user's sentiment is equal to 0.05, which means that only 53% of the time are users able to predict future stock prices correctly.

Using ACO algorithm, the pheromone values were computed to extract the trends of the user's sentiments with the modified equations.

"I can't lie Chad is unstable & scary but he is so entertaining to watch," tweeted one user, echoing Carroll's sentiments.

With respect to the first topic, we explore three Deep Learning algorithms including doc2vec [73 75], LSTM [76] and CNN [77] to see if they can more accurately predict StockTwit's users' sentiment.

The app turns the user's speech into text that's ready for sentiment analysis.

But it morphs quickly into 1984 2.0 with a format that can provide marketers information on the behavior and sentiment of a user's entire social graph, a profile with far more depth, value and predictives than that of an individual who surfs at an internet service provider or product website.