Sentiment Analysis

Sentiment analysis is contextual mining of text which identifies and extracts subjective information in source material, and helping a business to understand the social sentiment of their brand, product or service while monitoring online conversations. Creative use of advanced artificial intelligence techniques can be an effective tool for doing in-depth research.

Sentiment Analysis

It is the most common text classification tool that analyses an incoming message and tells whether the underlying sentiment is positive, negative our neutral

Intent Analysis

Intent analysis steps up the game by analyzing the user’s intention behind a message and identifying whether it relates an opinion, news, marketing, complaint, suggestion, appreciation or query
An example of Sentiment analysis :

Here's a case study on public data of Facebook comments:

Breakdown of Sentiment for Categories


Noticeably, comments related to all the categories have a negative sentiment majorly, bar one. The number of positive comments related to Price have outnumbered the negative ones. To dig deeper, analysis of intent of these comments is done. Facebook being a social platform, the comments are crowded random content, news shares, marketing and promotional content and spam/junk/unrelated content.

Have a look at the intent analysis on the Facebook comments:

Intent analysis of Facebook comments

Thus, On removing all such irrelevant intent categories and reproduction of the result:

Filtered Sentiment Analysis

There is noticeable change in the sentiment attached to each category. Especially in Price related comments, where the number of positive comments has dropped from 46% to 29%..


Comments

  1. GarciaApril 2, 2024 at 5:02 AM

    Sentiment analysis, a crucial aspect of text mining, allows businesses to grasp the pulse of consumer sentiment surrounding their brand, product, or service, particularly in marketing. Utilizing advanced AI techniques, companies can delve deep into online conversations, extracting valuable insights. Intent analysis further refines this process, discerning various user intentions. Together, these tools empower businesses to navigate the dynamic landscape of online discourse, shaping marketing strategies and enhancing customer engagement based on comprehensive understanding and marketing sentiment analysis.

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