Post by account_disabled on Feb 25, 2024 4:49:04 GMT
First of all, identify what we intend to monitor from a sentiment point of view: a service? A type of topic relevant to our online communication? An entire brand in all its possible declinations or narrowing the scope? This type of choice will determine the identification of certain keywords , which the analysis tools will search on the web and then attribute to them a sentiment "tag", which could be, for example, "positive", "negative", "neutral". ”. Equally important is knowing the functioning of the specific tool that we will choose for the analysis, the way to operate in the attribution of tags, the possible need to intervene manually to eliminate false attributions or to correct them.
We will then set the sources from which to draw this data and a recurring or India Part Time Job Seekers Phone Number List extemporaneous time frame for data extraction: in the case of social media monitoring, for example, it will have a monthly frequency, while for a campaign or a market analysis it will cover several months of investigation . A brand with a high number of mentions per day will in some cases need daily reporting, based on automation. This type of solution can be very useful for intervening immediately in the event of a crisis and for anticipating or containing developments. The reporting must therefore take into account all these factors and be designed in such a way as to support both short and long-term decisions on the basis of evidence.
Temporal trend of sentiment tags with respect to a group of keywords. This graph can indicate the effectiveness of campaigns and the possible recurrence in the concentration of negative or positive opinions. Collection of brand sentiment tags in a donut chart. This graph immediately provides the "sentiment" based on the totality of opinions expressed in a certain period of time with respect to certain key words. Brand sentiment tags separated by source. Thanks to this graph it is possible to identify the platforms where negative opinions are concentrated, for example to intervene more promptly in the area of community management or customer assistance. A graph like this can also "separate" sentiment data by company (to monitor competitor sentiment) or by topic, based on our analysis settings, the type of data collected and its availability.
We will then set the sources from which to draw this data and a recurring or India Part Time Job Seekers Phone Number List extemporaneous time frame for data extraction: in the case of social media monitoring, for example, it will have a monthly frequency, while for a campaign or a market analysis it will cover several months of investigation . A brand with a high number of mentions per day will in some cases need daily reporting, based on automation. This type of solution can be very useful for intervening immediately in the event of a crisis and for anticipating or containing developments. The reporting must therefore take into account all these factors and be designed in such a way as to support both short and long-term decisions on the basis of evidence.
Temporal trend of sentiment tags with respect to a group of keywords. This graph can indicate the effectiveness of campaigns and the possible recurrence in the concentration of negative or positive opinions. Collection of brand sentiment tags in a donut chart. This graph immediately provides the "sentiment" based on the totality of opinions expressed in a certain period of time with respect to certain key words. Brand sentiment tags separated by source. Thanks to this graph it is possible to identify the platforms where negative opinions are concentrated, for example to intervene more promptly in the area of community management or customer assistance. A graph like this can also "separate" sentiment data by company (to monitor competitor sentiment) or by topic, based on our analysis settings, the type of data collected and its availability.