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It helpa in transforming the text data into a meaningful view that helps to impact key business decisons. Unstructured data stored in form mainly of text can be transforming using LLMs and it support human conversation text as well. Ease of usability. Review collected by and hosted on G2.com.
Sometimes accuracy might be a issue. Although it is working fine Review collected by and hosted on G2.com.
7 out of 8 Total Reviews for Semantria
One of the best aspects of Semantria is its powerful natural language processing capabilities, which allow it to accurately analyze and understand the meaning and sentiment behind text data Review collected by and hosted on G2.com.
One potential disadvantage of Semantria, like many text analytics platforms, is that its accuracy can vary depending on the complexity of the text and the nuances of language. Review collected by and hosted on G2.com.
I can deploy it however I want like on premises, on cloud or even in hybrid. Also the machine learning processing the data is making my daily tasks super easy! Review collected by and hosted on G2.com.
As I am still implementing it in the system so I don't have any dislikes. Review collected by and hosted on G2.com.
The best thing about Semantria tool which I like most is its robust sentiments analysis capabilities. It excels in understanding and extracting sentiments from textual context and its one of the efficient tool I came across till now. Review collected by and hosted on G2.com.
There is nothing much to dislike about Semantria but at initial level user may find issues in navigating across the tool so as per my advice there is little bit of work required on User experience. Review collected by and hosted on G2.com.
The best I like about Semantria is test and sentiment analysis capabilities. It has high accuracy in sentiment analysis, entity recognition etc. Review collected by and hosted on G2.com.
I feel customization will be difficult to users who don't have knowledge in Machine Learning. Review collected by and hosted on G2.com.
I evaluated seven sentiment vendors, and found Semantria to be the best at scoring sentiment. This was for retail. In addition, I like that you can adjust the phrases to score the sentiment more positive or negative. Some phrases are clearly negative for some industries. The word "honor" for example may be deemed a positive word, but for retail, it's often in a negative context. With this engine, you can push this phrase along with another words that are within X proximity to be more negative. For example, "honor your price matching!" Or , "honor your agreements!", is often customers complaining in retail and you can polarize that to be more negative. I think their sentiment scoring is more accurate than their competitors. Review collected by and hosted on G2.com.
The phrase/entity engine needs to be built out more. Review collected by and hosted on G2.com.
