Address matching is an important task for many businesses especially delivery and take out companies which help them to take out a certain address from their data warehouse. Existing solution uses similarity of strings, and edit distance algorithms to find out the similar addresses from the address database, but these algorithms could not work effectively with redundant, unstructured, or incomplete address data. This paper discuss semantic Address matching technique, by which we can find out a particular address from a list of possible addresses. We have also reviewed existing practices and their shortcoming. Semantic address matching is an essentially NLP task in the field of deep learning. Through this technique We have the ability to triumph the drawbacks of existing methods like redundant or abbreviated data problems. The solution uses the OCR on invoices to extract the address and create the data pool of addresses. Then this data is fed to the algorithm BM-25 for scoring the best matching entries. Then to observe the best result, this will pass through BERT for giving the best possible result from the similar queries. Our investigation exhibits that our methodology enormously improves both accuracy and review of cutting-edge technology existing techniques.

"Continuous improvement is better than delayed perfection." Over the last couple of years, I have seen a lot of handwringing among the Technorati about how innovation is dead and that, from now on, there will only be boring iteration. The Mobile Revolution caused a dynamic shift in the way people interact with computers in ways that we can both measure … and have no idea it is even taking place. Smartphones gave rise to the apps economy and endless opportunity. But, as all cycles do, the luster of the Mobile Revolution is beginning to fizz out. It's incredibly difficult to build a new app and become a success, smartphones have become commodities and the cloud is so ubiquitous that people hardly give it a second thought anymore.

When Google debuted a Pokemon ad on April Fools' Day, we thought it was just a joke. Matthew Pellegrini checks his phone while playing Pokemon Go at the NorthPark Center mall in Dallas as his friend Ashley Jenkins charges her phone with an external battery. It's only been available in the U.S. since Thursday, but Pokémon Go has officially become a viral phenomenon. If you're curious why it seems everyone is talking about Pokémon in recent days, let's catch up. Last week, Nintendo and The Pokémon Company launched Pokémon Go, a game for iPhones and Android smartphones featuring the classic video game franchise where players catch and train special creatures called Pokémon. What makes the game special is its use of augmented reality, where Pokémon will appear as if they've been spotted in the real world.

Matthew Pellegrini checks his phone while playing Pokemon Go at the NorthGate Center mall in Dallas as his friend Ashley Jenkins charges her phone with an external battery. It's only been available in the U.S. since Thursday, but Pokémon Go has officially become a viral phenomenon. If you're curious why it seems everyone is talking about Pokémon in recent days, let's catch up. Last week, Nintendo and The Pokémon Company launched Pokémon Go, a game for iPhones and Android smartphones featuring the classic video game franchise where players catch and train special creatures called Pokémon. What makes the game special is its use of augmented reality, where Pokémon will appear as if they've been spotted in the real world. The game presents a map powered by GPS, using real-world locations to spot Pokémon and collect items.