Sentence examples for sentiment function from inspiring English sources

This year, I.B.M. has expanded SlamTracker to include a social sentiment function so fans can analyze not just how the players are doing, but also see what other fans are talking about.

Each individual tweet is scored by sentiment function [18].

The final Sentiment function validates the value of F P /F N and e P /e N. Depending on if the absolute value of the sentiment is greater than 25 or the absolute value of the evidence is higher than 0.5, it returns the sentiment or 0. If there are only positive words in the message, the final value of the sentiment is selected based on F P and e P only.

Consequently, we can infer from this that the average cannot be an optimal sentiment combining function.

We explained step by step how the sentiment normalisation function had been developed.

In our work we attempted to design a sentiment combining function that, based on the sentiment of single words, provides the absolute sentiment of the message as a normalised value from the range of −100 to 100.

And reason tells us that moral sentiments are functioning properly if and only if they promote the well-being of the species as a whole.

With the introduction of a negating function the sentiment of the sentence will be 10.

Through the application of a normalisation function the sentiment of a message is represented as a value from a range of −100 to 100.

We were able to show that by translating words from the English lexicon into regular Polish and Portuguese words and by application of a string similarity function, the sentiment analysis of Polish/Portuguese tweets can be performed on a similar level of accuracy as for the English language.

In the first attempt an average was considered as a combining function for the sentiment within a message.