The idea is to embed regEx patterns as part of the search engine's algorithm in a web application project to provide strings related to the targeted items for more comprehensive coverage of search results.
This also requires that the users will have to spend a lot of time and effort to search for the best product deals, products updates and offers on e-commerce websites.
This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique called sentiment analysis (SA).
Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging.
Most minority languages face the challenge of lack of resources - data and technologies - for NLP research.
In this work, we applied embedding models to the diacritic restoration task and compared their performances to those of n-gram models.
However, as a classification task, diacritic restoration is well suited for and will be more generalisable with machine learning.