Topic Analysis allows you to go beyond the volume of results, or where conversations are taking place, and drill further into what the general topics and tenor are related to results. This provides you the ability to find deeper context to the results you see, and better understand how the results are being talked about within separate topics.
Let's breakdown each widget with Topic Analysis below:
This widget shows topics that appear most frequently. The chart shows three levels of tops and sub-topics. You are able to click on a topic to expand the sub-topics.
This widget provides a total volume of all mentions from all sources in your selected date range. It also includes the delta trend, which tells you the percentage change in volume over the previous time frame.
This widget shows topics that are automatically assigned to documents using natural language processing (NLP).
This widget shows the top entities associated with your query. An entity is a keyword that is classified as a common or proper noun.
To see how many times a top entity appeared in your results, hover over the entity. To see all mentions for a specific top entity, click on the word. Explore will add a sub keyword filter with the entity you selected to the query.
Top Keyword Sentiment
This widget shows positive and negative keywords from mentions that appear most frequently in results.
This widget shows the overall tonality of mentions in your results. Sentiment is derived from our natural language processing algorithms. The sentiment of a mention will either be rated Positive, Neutral, Negative or Not Rated. A mention will be labeled as Not Rated if it does not have enough text to analyze sentiment.
To drill-down by sentiment, click on a sentiment-type and it will apply the sentiment filter to the query.
To read more about sentiment and how to override sentiment, click here.
This widget shows the tonality of mentions over time. Sentiment is derived from our natural language processing algorithm. "Not Rated" mentions don't have enough text to analyze sentiment.
Sentiment by Source
This widget shows the tone of mentions by source. Sentiment is derived from our natural language processing algorithm. Mentions labeled as "Not Rated" do not have enough text to analyze. This widget can help you explain why you focus on one source during a certain campaign or why you put more effort towards a certain source.
Top Scenes and Objects
This widget shows the object and scene categories detected most frequently in images that are posted or attached to post. ONLY News and Reddit are supported.
This widget shows the top hashtags associated with your query.
To see how many times a top hashtag appeared in your results, hover over the hashtag. To see all mentions for a specific top hashtag, click on the hashtag. Explore will add a sub keyword filter with the hashtag you selected to the query.
This widget shows how many mentions in your results express a specific emotion. This differs from sentiment analysis, as emotional comparison is based on specific keywords, phrases, and emojis. This includes negation (keywords that won't be matched).
E.g. "I love this" vs "This made me sad".
The emotional comparison widget currently supports keywords and phrases in English, however it will return results for other languages that have a specific emoji in the mention.
YouTube data is excluded from these visualization per their policies.
Each widget can be exported by selecting the 'Download" Icon, Download CSV in the upper right had corner of each individual widget.
To learn more about the additional explore tabs check out the pages below:
Need more help? Feel free to reach out to us via Live Chat or check out our Customer Community.
Find answers and get help from Meltwater Support and Community Experts.