While words, phrases and topics are useful for telling you what a group of people speak about, grammar analysis can help us understand more about how they think. 

To analyse grammar, Relative Insight uses the hidden Markov approach to establish the applicable grammatical construct for a chain of words. The platform analyses context and word endings in order to classify each word into pre-defined categories.

In case you’ve forgotten everything you learned in English class (no judgment from us…), here is a quick explanation of some of the categories you may see as you explore the grammatical analysis in the platform. 

(Might be easiest to go look at a comparison in the platform, then come back here to CTRL + F the grammatical categories you need to learn more about… ) 🔬

1st person singular personal pronouns - e.g. I, me

This indicates that the language of your data set is self-referential, or even self-absorbed if from a personal perspective.

1st person plural personal pronouns - e.g. we, us

This indicates that the people captured within a language set present themselves as part of a unit with others. 

2nd person personal pronouns - e.g. you

This indicates that the language in your dataset directly addresses others. 

3rd person pronouns - e.g. she, his, they

This means that your dataset is talking about other people and is often related to politics or making judgments on the actions or behaviour of others. 

3rd person singular neuter personal pronoun - e.g. it

This shows that the language set is trying to disassociate itself with the subject of the text and may be trying to increase psychological distance from the subject to make it seem more abstract. 

Adjectives - e.g. old, older, oldest 

This shows the language set tends to go into greater detail about the subject, and can be classified as general, comparative or superlative.

Comparative adverbs - e.g. more, lessSuperlative adverbs - e.g. most, least 

This signals that the language set is evaluating or comparing something.

Comparative after-determiner - e.g. more, less, fewer

This language is focused on quantities or amounts of something which can change or be altered, and this group might be calling for change in this regard. 

Degree adverb - e.g. very, so, too

This suggests that the language set tends to exaggerate or use hyperbole around the subject. 

Interjection - e.g. oh, um, ah  

This may show that the language in the set is more colloquial or informal.

Locative adverbs - e.g. there, here

This means that the user is trying to make a concept less abstract by anchoring the subject in a place or time. This reduces our psychological distance from the subject to make it seem more tangible and relatable.

This shows that the language set tends to be more forward- thinking and may be looking for change.

Numbers - e.g. 1, 1770-1827, quarter

 This shows that the language set is more detail oriented and will provide specifics instead of speculative or abstract suggestions. Can be further classified as singular cardinal numbers, hyphenated numbers, fractions or numeral numbers. 

Possessive pronoun, pre-nominal - e.g. my, your, our

This shows that the language in the set is taking ownership of an action, issue or organisation, which potentially reveals a high level of engagement from the user. 

Quasi-nominal adverb of time - e.g. now, tonight, tomorrow

The language group is trying to anchor itself in a particular timeframe, perhaps stating they are socially current. 

Reflexive indefinite pronoun - e.g. oneself

This shows that the language set tends to be more formal. 

Superlative adjective - e.g. strongest, biggest

The group may tend to exaggerate or use hyperbole. 

Unclassified word - e.g. N/A, kg/m2

This is when the language set uses words that we are not able to classify into a part of speech and may show that they are using more technical or codified terms. 

Did this answer your question?