Real-time message sentiment awareness

1. A method for determining a sentiment of an electronic message, comprising:

providing, using a processor of a computer, sentiment dictionaries and false-positive dictionaries with associated sentiment indicators, wherein a sentiment dictionary and a false-positive dictionary are provided for each type of sentiment, wherein the sentiment dictionary includes sub-constructs that are correctly classified as the associated sentiment indicator, and wherein the false-positive dictionary includes sub-constructs that are incorrectly classified as the associated sentiment indicator;

parsing the electronic message to identify one or more sub-constructs;

finding a first sub-construct of the one or more sub-constructs in a false-positive dictionary from the false-positive dictionaries that indicates that the first sub-construct is incorrectly classified as the associated sentiment indicator of the false-positive dictionary;

for each of the one or more sub-constructs, other than the first sub-construct, that are not found in the false-positive dictionaries,

finding that sub-construct in a sentiment dictionary from the sentiment dictionaries;

assigning a score for the associated sentiment indicator; and

applying a rule that includes the sub-construct and another sub-construct from the one or more sub-constructs to adjust the score;

obtaining a final score for each type of sentiment indicator in the electronic message by summing scores for sub-constructs having been assigned the score for that type of sentiment indicator without counting the first sub-construct that has been found in the false-positive dictionary; and

based on the final score for each type of sentiment indicator, identifying the sentiment of the electronic message.

2. The method of claim 1 , wherein software is provided as a service in a cloud environment.

3. The method of claim 1 , wherein one or more parsing rules are used to parse the electronic message and assign the score.

4. The method of claim 1 , further comprising:

notifying a user of the sentiment by providing an emoticon representing the sentiment.

5. The method of claim 1 , further comprising:

notifying a user of the sentiment by providing text describing the sentiment.

6. The method of claim 1 , further comprising:

providing suggestions of alternate language using one or more suggestion thesauri.

7. The method of claim 1 , further comprising:

storing the sentiment dictionaries and the false-positive dictionaries.

8. The method of claim 1 , further comprising:

storing one or more parsing rules that are created using the sentiment dictionaries and the false-positive dictionaries.

9. A computer system for determining a sentiment of an electronic message, comprising:

a processor; and

a storage device connected to the processor, wherein the storage device has stored thereon a program, and wherein the processor is configured to execute instructions of the program to perform operations, wherein the operations comprise:

providing sentiment dictionaries and false-positive dictionaries with associated sentiment indicators, wherein a sentiment dictionary and a false-positive dictionary are provided for each type of sentiment, wherein the sentiment dictionary includes sub-constructs that are correctly classified as the associated sentiment indicator, and wherein the false-positive dictionary includes sub-constructs that are incorrectly classified as the associated sentiment indicator;

parsing the electronic message to identify one or more sub-constructs;

finding a first sub-construct of the one or more sub-constructs in a false-positive dictionary from the false-positive dictionaries that indicates that the first sub-construct is incorrectly classified as the associated sentiment indicator of the false-positive dictionary;

for each of the one or more sub-constructs, other than the first sub-construct, that are not found in the false-positive dictionaries

finding that sub-construct in a sentiment dictionary from the sentiment dictionaries;

assigning a score for the associated sentiment indicator; and

applying a rule that includes the sub-construct and another sub-construct from the one or more sub-constructs to adjust the score;

obtaining a final score for each type of sentiment indicator in the electronic message by summing scores for sub-constructs having been assigned the score for that type of sentiment indicator without counting the first sub-construct that has been found in the false-positive dictionary; and

based on the final score for each type of sentiment indicator, identifying the sentiment of the electronic message.

10. The computer system of claim 9 , wherein one or more parsing rules are used to parse the electronic message and assign the score.

11. The computer system of claim 9 , wherein the operations further comprise:

notifying a user of the sentiment by providing an emoticon representing the sentiment.

12. The computer system of claim 9 , wherein the operations further comprise:

notifying a user of the sentiment by providing text describing the sentiment.

13. The computer system of claim 9 , wherein the operations further comprise:

providing suggestions of alternate language using one or more suggestion thesauri.

14. The computer system of claim 9 , wherein the operations further comprise:

storing the sentiment dictionaries and the false-positive dictionaries.

15. The computer system of claim 9 , wherein the operations further comprise:

storing the or more parsing rules that are created using the sentiment dictionaries and the false-positive dictionaries.

16. The computer system of claim 9 , wherein the program is provided as a service in a cloud environment.

17. A computer program product for determining a sentiment of an electronic message, the computer program product comprising:

a non-transitory computer readable storage medium having computer readable program code embodied therewith, wherein the computer readable program code, when executed by a processor of a computer, is configured to perform:

providing sentiment dictionaries and false-positive dictionaries with associated sentiment indicators, wherein a sentiment dictionary and a false-positive dictionary are provided for each type of sentiment, wherein the sentiment dictionary includes sub-constructs that are correctly classified as the associated sentiment indicator, and wherein the false-positive dictionary includes sub-constructs that are incorrectly classified as the associated sentiment indicator;

parsing the electronic message to identify one or more sub-constructs;

finding a first sub-construct of the one or more sub-constructs in a false-positive dictionary from the false-positive dictionaries that indicates that the first sub-construct is incorrectly classified as the associated sentiment indicator of the false-positive dictionary;

for each of the one or more sub-constructs, other than the first sub-construct, that are not found in the false-positive dictionaries,

finding that sub-construct in a sentiment dictionary from the sentiment dictionaries;

assigning a score for the associated sentiment indicator; and

applying a rule that includes the sub-construct and another sub-construct from the one or more sub-constructs to adjust the score;

obtaining a final score for each type of sentiment indicator in the electronic message by summing scores for sub-constructs having been assigned the score for that type of sentiment indicator without counting the first sub-construct that has been found in the false-positive dictionary; and

based on the final score for each type of sentiment indicator, identifying the sentiment of the electronic message.

18. The computer program product of claim 17 , wherein one or more parsing rules are used to parse the electronic message and assign the score.

19. The computer program product of claim 17 , wherein the computer readable program code, when executed by the processor of the computer, is configured to perform:

notifying a user of the sentiment by providing an emoticon representing the sentiment.

20. The computer program product of claim 17 , wherein the computer readable program code, when executed by the processor of the computer, is configured to perform:

notifying a user of the sentiment by providing text describing the sentiment.

21. The computer program product of claim 17 , wherein the computer readable program code, when executed by the processor of the computer, is configured to perform:

providing suggestions of alternate language using one or more suggestion thesauri.

22. The computer program product of claim 17 , wherein the computer readable program code, when executed by the processor of the computer, is configured to perform:

storing the sentiment dictionaries and the false-positive dictionaries.

23. The computer program product of claim 17 , wherein the computer readable program code, when executed by the processor of the computer, is configured to perform:

storing one or more parsing rules that are created using the sentiment dictionaries and the false-positive dictionaries.

24. The computer program product of claim 17 , wherein the computer readable program code is provided as a service in a cloud environment.