AustraliaLocation
2Team Size
MarketingIndustry
Netsmartz revolutionized online campaigns through advanced sentiment analysis and summarization, enabling data-driven decision-making for optimized marketing strategies.
About The Company
Our client, based out of Sydney, Australia, emerges as a frontrunner in the marketing realm, dedicated to enhancing online prominence. Their prowess encompasses a spectrum of services, including search engine optimization (SEO), content dissemination, and the orchestration of social media campaigns. Furthermore, they extend their expertise to encompass web crafting, brand identity, and public relations. With a zealous contingent of adept marketers, their mission revolves around steering clientele towards their marketing pinnacles, seamlessly connecting with their intended demographic.
The Tech Stack
React
Django
Team Composition
1 Frontend Developer, 1 Backend Developer
The Problem Statement
Our client was confronted with the challenge of elevating businesses’ online presence. With a small team, they aimed to utilize React for frontend development and Django for backend functionalities. By integrating APIs from Facebook Meta, TikTok, and Instagram, their goal was to build a comprehensive solution that would empower businesses of all sizes to thrive within the highly competitive digital landscape. Furthermore, they aimed to perform sentiment analysis on comments from their Facebook and Instagram campaigns, utilizing this insight to assess the sentiment of the ongoing campaigns.
The Challenge
In pursuit of these objectives, our client faced several critical challenges:
- The foremost challenge was devising strategies that could significantly enhance businesses’ online presence.
- With a small team comprising only two members, maximizing productivity and output was challenging despite resource constraints.
- Crafting a comprehensive solution required seamless integration of React, Django, Facebook Meta, TikTok, and Instagram APIs, posing a technological integration challenge.
- The solution needed to be versatile enough to empower businesses of all sizes to thrive in the fiercely competitive digital arena.
The Solution
In response to these intricate challenges, our client needed a sophisticated solution that encompassed several key steps:
- We employed the Pattern library in Python to gauge the sentiment of comments, enabling precise sentiment analysis across the campaign’s digital interactions.
- Upon completion of sentiment analysis, the next step involved harnessing the capabilities of the Hugging Face API pipeline. This allowed for the automatic generation of concise summaries for positive and negative comments.
- The result was a comprehensive yet succinct overview highlighting the campaign’s positive and negative aspects. This overview offered a data-driven insight into the sentiment dynamics by providing corresponding percentages.
- Armed with the comprehensive sentiment analysis, our client was equipped to evaluate the campaign’s performance effectively, making informed decisions based on the percentage breakdown of positive and negative feedback.
Our Process
Netsmartz followed the following process to fulfill the requirements of the client:
Mapping & Identifying Appropriate Resources
The preliminary task was to identify skilled resources to work on the project. Since the project was significantly high-grade – in terms of expertise and skill required, the resources were allocated dedicatedly to see the project through.
Commencing Development
After the resource allocation, the developers started working on the problem statement, defining the benchmarks, fixing bugs and errors, and crafting a better solution.
The Result
Netsmartz’s innovative sentiment analysis and summarization approach provided a data-driven foundation for informed campaign assessment. This strategic solution enhanced the client’s ability to understand sentiment dynamics and facilitated effective decision-making for optimizing their marketing endeavors.
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