I define aspect extraction as identifying the key topics being talked about in a sentence, the key ideas in a sentence that it revolves around. For example in a product review, the features of the product being mentioned and the product itself will be the aspect. Below are a few examples of aspect extraction being performed on sentences.
The input list is given, and then the output list containing the extracted aspects from the input list.
Input_List = ["... CLEARLY I love to eat baked cheetos lmao", "Crunchy Xxtra Flamin hots are the only real flavor", "Love that Walmart offer this box of chips", "Snack is the perfect snack for a quick snack to fill that late night cravings", "They are organic", "Chips are organic"] 
Output_List = [["baked cheetos"], ["Crunchy Xxtra Flamin hots", "flavor"], ["Walmart", "box of chips"], ["Snack", "late night cravings"], ["organic"], ["Chips", "organic"]]


Considering the above, perform aspect extraction on the ten phrases that follow and give me the results in the form of a python list with no text before or after. Perform aspect extraction according to my examples and definition. - ['.. Definitely try this flavor for some more boujee chip flavor' , '... - to my kids these were just tasty chips', '... 1st crunch on a chip fills your face with delight !', '... All the chips taste great', '... Are super tasty chips .', '... BBQ is my fav .', '... CLEARLY I love to eat baked cheetos lmao .', '... Even the kids love these chips', '... Every time I buy these chips I find', '... Hav