Difference between revisions of "Marketing"
m |
m |
||
| Line 17: | Line 17: | ||
* [http://brandmark.io/ Brandmark] - create a unique, professional logo for your business | * [http://brandmark.io/ Brandmark] - create a unique, professional logo for your business | ||
* [http://mailchimp.com/features/landing-pages/ Mailchimp landing page builder] | * [http://mailchimp.com/features/landing-pages/ Mailchimp landing page builder] | ||
| − | |||
<youtube>FYMjXD3G__Y</youtube> | <youtube>FYMjXD3G__Y</youtube> | ||
| Line 24: | Line 23: | ||
<youtube>hJ_68fVyTvk</youtube> | <youtube>hJ_68fVyTvk</youtube> | ||
<youtube>b9EveQm-XgE</youtube> | <youtube>b9EveQm-XgE</youtube> | ||
| + | <youtube>KekjCjlFaPw</youtube> | ||
| + | |||
= NLP -Based Brand Awareness and Market Research = | = NLP -Based Brand Awareness and Market Research = | ||
Revision as of 15:37, 8 October 2020
Youtube search... ...Google search
- Case Studies
- Brandmark - create a unique, professional logo for your business
- Mailchimp landing page builder
NLP -Based Brand Awareness and Market Research
It’s difficult to develop actionable business strategies when you don’t know how customers feel about your brand. By using sentiment analysis and getting the most frequent context when your brand receives positive and negative comments, you can increase your strengths and reduce weaknesses based on viable market research. NLP-based software analyzes social media content, including customer reviews/comments, and converts them into insightful data. Natural Language Processing (NLP) Use Cases For Business Optimization | Ilia Iorin - MobiDev
How Does This Algorithm Work?
- Analyze an entire list of comments and classify them using a sentiment analysis model.
- Get the most frequent words and phrases from both positive and negative comments.
- Perform market research based on the data collected.
Based on this algorithm, it is possible to assign a value to the output information. This value might be considered as a positive, negative, or neutral emotion. Marketers can use this data to make more informed decisions in their marketing strategies and campaigns.
NLP-Powered Competitive Analysis
Most founders will conduct competitor analysis and research when starting a business. This task enables them to better understand their market, competitors, customers, and other important details about their industry. There are dozens of tools available to help entrepreneurs monitor their competitors. NLP-powered engines like Zirra simplify the process for automatically building a competitive landscape. When Zirra analyzes something, it gathers a list of companies and ranks them from zero to one. This rank shows how closely these companies are related to each other using a multimodal semantic field. The algorithms solutions like Zirra create the list of companies by scanning the Internet for articles and putting the data into an NLP module that closes out semantic relationships between companies. Natural Language Processing (NLP) Use Cases For Business Optimization | Ilia Iorin - MobiDev
