System, method and computer program product for identifying words within collection of text applicable to specific sentiment

A computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by a first computer to:

• divide a collection of text into a plurality of sentiment segments;
• tokenize words or phrases in the plurality of sentiment segments;
• perform a frequency analysis on tokenized words or phrases in each sentiment segment of the plurality of sentiment segments;
• perform a scaling operation to size individual sentiment segments based on results from the frequency analysis;
• for each tokenized word or phrase in each sentiment segment of the plurality of sentiment segments, subtract a first number of the tokenized word or phrase in the sentiment segment from a second number of the tokenized word or phrase in at least one other sentiment segment of the plurality of sentiment segments, thereby producing, for each sentiment segment of the plurality of sentiment segments, a list of words or phrases that apply specifically to the sentiment segment;
• and
• provide the list of words or phrases that apply specifically to the sentiment segment to a second computer over a network connection.

A system, comprising:

• at least one processor;
• at least one non-transitory computer readable medium storing instructions translatable by the at least one processor to implement a word cloud module, the word cloud module being configured to:
• divide a collection of text into a plurality of sentiment segments;
• tokenize words or phrases in the plurality of sentiment segments;
• perform a frequency analysis on tokenized words or phrases in each sentiment segment of the plurality of sentiment segments;
• perform a scaling operation to size individual sentiment segments based on results from the frequency analysis;
• for each tokenized word or phrase in each sentiment segment of the plurality of sentiment segments, subtract a first number of the tokenized word or phrase in the sentiment segment from a second number of the tokenized word or phrase in at least one other sentiment segment of the plurality of sentiment segments, thereby producing, for each sentiment segment of the plurality of sentiment segments, a list of words or phrases that apply specifically to the sentiment segment;
• and
• provide the list of words or phrases that apply specifically to the sentiment segment to a second computer over a network connection.