APPARATUS AND METHOD FOR DEVELOPING COMPLEX QUERIES OF SOCIAL MEDIA SOURCES

1 . An apparatus for developing a query on a social media service, comprising:

a processor; and

a computer-readable medium storing a plurality of instructions, which when executed by the processor, cause the processor to perform operations, the operations comprising:

receiving a keyword;

providing an option to select a sentiment and an option to include a time frame;

finding a plurality of related keywords based on the keyword, the sentiment that is selected and the time frame that is selected using one or more external databases;

generating the query using the keyword and all of the plurality of related keywords; and

applying the query to the social media service.

2 . The apparatus of claim 1 , wherein a data set from the social media service is preprocessed to convert slang terms, abbreviations, hashtags, emoticons and ASCII images into language words.

3 . The apparatus of claim 1 , wherein the sentiment comprises a happy sentiment, an unhappy sentiment or no sentiment.

4 . The apparatus of claim 1 , wherein the time frame comprises a past, a future, a present or no time frame.

5 . The apparatus of claim 1 , wherein the generating comprises formatting the query into a format that is compatible with the social media service.

6 . The apparatus of claim 1 , further comprising:

providing results of the query;

tuning the query based on the results; and

re-applying the query that is tuned to the social media service.

7 . The apparatus of claim 6 , wherein the tuning comprises a manual tuning or an automatic tuning.

8 . The apparatus of claim 7 , wherein the manual tuning comprises removing from the query one or more related keywords of the plurality of related keywords or adding one or more additional related keywords selected by a user.

9 . The apparatus of claim 7 , wherein the automatic tuning comprises removing from the query one or more related keywords that provide a number of search results above a first threshold and below or equal to a second threshold.

10 . The apparatus of claim 1 , wherein the apparatus is configured for a specific domain.

11 . A method for developing a query on a social media service, comprising:

receiving, by a processor, a keyword;

providing, by the processor, an option to select a sentiment and an option to include a time frame;

finding, by the processor, a plurality of related keywords based on the keyword, the sentiment that is selected and the time frame that is selected using one or more external databases;

generating, by the processor, the query using the keyword and all of the plurality of related keywords; and

applying, by the processor, the query to the social media service.

12 . The method of claim 11 , wherein a data set from the social media service is preprocessed to convert slang terms, abbreviations, hashtags, emoticons and ASCII images into language words.

13 . The method of claim 11 , wherein the sentiment comprises a happy sentiment, an unhappy sentiment or no sentiment.

14 . The method of claim 11 , wherein the time frame comprises a past, a future, a present or no time frame.

15 . The method of claim 11 , wherein the generating comprises formatting the query into a format that is compatible with the social media service.

16 . The method of claim 11 , further comprising:

providing results of the query;

tuning the query based on the results; and

re-applying the query that is tuned to the social media service.

17 . The method of claim 16 , wherein the tuning comprises a manual tuning or an automatic tuning.

18 . The method of claim 17 , wherein the manual tuning comprises removing from the query one or more related keywords of the plurality of related keywords or adding one or more additional related keywords selected by a user.

19 . The method of claim 17 , wherein the automatic tuning comprises removing from the query one or more related keywords that provide a number of search results above a first threshold and below or equal to a second threshold.

20 . A method for developing a query on a social media service, comprising:

receiving, by a processor, a constant stream of data from the social media service;

preprocessing, by the processor, the constant stream of data to convert slang terms, abbreviations, hashtags, emoticons and ASCII images into language words;

receiving, by the processor, a keyword;

establishing, by the processor, a communication session with a third party language website;

finding, by the processor, a plurality of related keywords based on the keyword using a third party language website;

providing, by the processor, an option to select a sentiment and an option to include a time frame;

receiving, by the processor, a sentiment;

finding, by the processor, a plurality of sentiment keywords based on the sentiment using the third party language website;

receiving, by the processor, a time frame;

finding, by the processor, a plurality of time frame keywords based on the time frame;

generating, by the processor, the query using the keyword, all of the plurality of related keywords, the plurality of sentiment keywords and the plurality of time frame key words within a specific domain in a format that is compatible with the social media service;

applying, by the processor, the query to the social media service;

tuning, by the processor, the query based on results of the query that is applied to the social media service;

storing, by the processor, the results; and

repeating, by the processor, the generating, the applying, the tuning and the storing on the constant stream of data from the social media service continuously.