69. A computer implemented method for tracking and reporting electronic message activity in one or more electronic discussions, comprising: collecting by a computer system a plurality of messages from one or more electronic discussions; for each message, processing the message to track a plurality of pseudonyms by computing by the computer system a numerical relevance score for the message posted by one of the plurality of pseudonyms based upon, at least in part, the relevance of the message to a topic, wherein the numerical relevance score of each message is computed on a numerical scale, and wherein the numerical relevance score of each message is determined based on a set of predefined rules, the predefined rules having a plurality of conditions defining information relevant to the topic and having an associated weighting to indicate the strength a particular condition should have in determining the relevance of the messages with respect to the topic; for each message, determining by the computer system the presence of at least one of a positive sentiment, a negative sentiment and an absence of sentiment; compiling by the computer system analysis results based upon, at least in part, the topic, the relevance scores for the plurality of messages and the determination of the presence of at least one of the positive sentiment, negative sentiment and absence of sentiment in each message; generating by the computer system an electronic message activity report using the analysis results; computing a numerical buzz score for the topic, wherein the report at least indirectly reflects the numerical buzz score.
69. A computer implemented method for tracking and reporting electronic message activity in one or more electronic discussions, comprising: collecting by a computer system a plurality of messages from one or more electronic discussions; for each message, processing the message to track a plurality of pseudonyms by computing by the computer system a numerical relevance score for the message posted by one of the plurality of pseudonyms based upon, at least in part, the relevance of the message to a topic, wherein the numerical relevance score of each message is computed on a numerical scale, and wherein the numerical relevance score of each message is determined based on a set of predefined rules, the predefined rules having a plurality of conditions defining information relevant to the topic and having an associated weighting to indicate the strength a particular condition should have in determining the relevance of the messages with respect to the topic; for each message, determining by the computer system the presence of at least one of a positive sentiment, a negative sentiment and an absence of sentiment; compiling by the computer system analysis results based upon, at least in part, the topic, the relevance scores for the plurality of messages and the determination of the presence of at least one of the positive sentiment, negative sentiment and absence of sentiment in each message; generating by the computer system an electronic message activity report using the analysis results; computing a numerical buzz score for the topic, wherein the report at least indirectly reflects the numerical buzz score. 70. The computer implemented method of claim 69 , wherein determining the presence of at least one of the positive sentiment, negative sentiment and absence of sentiment in each message includes analyzing by the computer system textual patterns in the message for the expression of sentiment.