Positive / Negative ?
In a highdimensional dataworld, finding a hyperplane distinguishing two classes isn’t always so complicated. Without domainknowledge nor priors from the language environment a linear regressor gets 80%+ on unseen data. In the appendix you can see the auto generated report for yelp. I took open datasets from Amazon, Yelp and ImdB for binary segment analysis.
Even simpler statistical models give a beautiful projection of the generative function from positive or negative words in the given prior. Seen in the following:
A very nice example are positive words extracted from a labeled twitter post database on becks (german beer).
You can also see, that on the negative samples, I filtered too much usernames, unfortunally. Prototype can be too weak or I discovered a hidden group of people hating becks.
All of my algorithms are from neurocat. Of course.
Appendix: Prediction Yelp:
Info:
- Author: neurocat algorithm
- File: ./data/yelp_labelled.txt
- Categories: [‘Bad’, ‘Good’]
- accuracy: 0.815
text | nc | truth |
---|---|---|
‘This was my first and only Vegas buffet and it did not disappoint.’ | Good | True |
‘The food was outstanding and the prices were very reasonable.’ | Good | True |
‘Gave up trying to eat any of the crust (teeth still sore).’ | Bad | True |
‘RUDE & INCONSIDERATE MANAGEMENT.’ | Bad | True |
‘This place lacked style!!’ | Bad | True |
‘The black eyed peas and sweet potatoes… UNREAL!’ | Good | True |
‘If that bug never showed up I would have given a 4 for sure, but on the other side of the wall where this bug was climbing was the kitchen.’ | Bad | True |
‘Great food.’ | Good | True |
‘Worst Thai ever.’ | Bad | True |
‘The Han Nan Chicken was also very tasty.’ | Good | True |
‘The worst was the salmon sashimi.’ | Bad | True |
“Probably never coming back, and wouldn’t recommend it.” | Bad | True |
“I don’t think we’ll be going back anytime soon.” | Bad | True |
‘Im in AZ all the time and now have my new spot.’ | Good | True |
“Worst food/service I’ve had in a while.” | Bad | True |
‘Not tasty and the texture was just nasty.’ | Bad | True |
‘Perfect for someone (me) who only likes beer ice cold, or in this case, even colder.’ | Bad | False |
‘Terrible management.’ | Bad | True |
“I will come back here every time I’m in Vegas.” | Good | True |
‘This place has a lot of promise but fails to deliver.’ | Good | False |
‘The crêpe was delicate and thin and moist.’ | Good | True |
“Won’t go back.” | Bad | True |
‘The potatoes were like rubber and you could tell they had been made up ahead of time being kept under a warmer.’ | Good | False |
‘Some highlights : Great quality nigiri here!’ | Good | True |
“I could barely stomach the meal, but didn’t complain because it was a business lunch.” | Bad | True |
‘The deal included 5 tastings and 2 drinks, and Jeff went above and beyond what we expected.’ | Bad | False |
‘I hate those things as much as cheap quality black olives.’ | Bad | True |
‘I am far from a sushi connoisseur but I can definitely tell the difference between good food and bad food and this was certainly bad food.’ | Bad | True |
‘Will not be back.’ | Bad | True |
‘Great place fo take out or eat in.’ | Good | True |
‘How awesome is that.’ | Good | True |
“Couldn’t ask for a more satisfying meal.” | Bad | False |
‘But then they came back cold.’ | Bad | True |
‘The only downside is the service.’ | Good | False |
‘Crust is not good.’ | Bad | True |
“Bland… Not a liking this place for a number of reasons and I don’t want to waste time on bad reviewing.. I’ll leave it at that…” | Bad | True |
‘I had to wait over 30 minutes to get my drink and longer to get 2 arepas.’ | Bad | True |
‘What a great double cheeseburger!’ | Good | True |
‘Oh this is such a thing of beauty, this restaurant.’ | Good | True |
“I can assure you that you won’t be disappointed.” | Good | True |
“I personally love the hummus, pita, baklava, falafels and Baba Ganoush (it’s amazing what they do with eggplant!).” | Good | True |
‘We watched our waiter pay a lot more attention to other tables and ignore us.’ | Bad | True |
‘The ambience is wonderful and there is music playing.’ | Good | True |
‘Pretty good beer selection too.’ | Good | True |
‘The owner used to work at Nobu, so this place is really similar for half the price.’ | Bad | False |
‘It lacked flavor, seemed undercooked, and dry.’ | Bad | True |
“I gave it 5 stars then, and I’m giving it 5 stars now.” | Good | True |
“Point your finger at any item on the menu, order it and you won’t be disappointed.” | Bad | False |
‘This place should honestly be blown up.’ | Bad | True |
‘DELICIOUS!!’ | Good | True |
‘Kind of hard to mess up a steak but they did.’ | Good | False |
‘Seriously flavorful delights, folks.’ | Good | True |
‘The service was meh.’ | Bad | True |
‘The place was not clean and the food oh so stale!’ | Bad | True |
‘I will not be eating there again.’ | Bad | True |
‘My ribeye steak was cooked perfectly and had great mesquite flavor.’ | Good | True |
‘I got food poisoning here at the buffet.’ | Bad | True |
“Furthermore, you can’t even find hours of operation on the website!” | Good | False |
‘I left with a stomach ache and felt sick the rest of the day.’ | Good | False |
‘I was seated immediately.’ | Bad | False |
‘This is was due to the fact that it took 20 minutes to be acknowledged, then another 35 minutes to get our food…and they kept forgetting things.’ | Bad | True |
‘The sangria was about half of a glass wine full and was $12, ridiculous.’ | Bad | True |
“Definitely worth venturing off the strip for the pork belly, will return next time I’m in Vegas.” | Good | True |
‘Interesting decor.’ | Good | True |
‘I believe that this place is a great stop for those with a huge belly and hankering for sushi.’ | Good | True |
‘seems like a good quick place to grab a bite of some familiar pub food, but do yourself a favor and look elsewhere.’ | Good | False |
‘They know how to make them here.’ | Bad | False |
‘Worst service to boot, but that is the least of their worries.’ | Bad | True |
‘Highly unprofessional and rude to a loyal patron!’ | Bad | True |
“Hawaiian Breeze, Mango Magic, and Pineapple Delight are the smoothies that I’ve tried so far and they’re all good.” | Good | True |
‘I was mortified.’ | Bad | True |
‘And it was way to expensive.’ | Bad | True |
‘We had fantastic service, and were pleased by the atmosphere.’ | Good | True |
‘I love the decor with the Chinese calligraphy wall paper.’ | Good | True |
‘But now I was completely grossed out.’ | Bad | True |
‘The chicken was deliciously seasoned and had the perfect fry on the outside and moist chicken on the inside.’ | Good | True |
‘Worse of all, he humiliated his worker right in front of me..Bunch of horrible name callings.’ | Bad | True |
‘Delicious and I will absolutely be back!’ | Good | True |
“My girlfriend’s veal was very bad.” | Bad | True |
‘Never had anything to complain about here.’ | Bad | False |
‘The food was very good and I enjoyed every mouthful, an enjoyable relaxed venue for couples small family groups etc.’ | Good | True |
‘Never again will I be dining at this place!’ | Bad | True |
‘For a self proclaimed coffee cafe, I was wildly disappointed.’ | Bad | True |
‘Last night was my second time dining here and I was so happy I decided to go back!’ | Good | True |
“I don’t recommend unless your car breaks down in front of it and you are starving.” | Bad | True |
‘-My order was not correct.’ | Bad | True |
‘I will not return.’ | Bad | True |
‘To summarize… the food was incredible, nay, transcendant… but nothing brings me joy quite like the memory of the pneumatic condiment dispenser.’ | Good | True |
‘The refried beans that came with my meal were dried out and crusty and the food was bland.’ | Bad | True |
“The building itself seems pretty neat; the bathroom is pretty trippy, but I wouldn’t eat here again.” | Good | False |
‘Food was great and so was the serivce!’ | Good | True |
‘We had 7 at our table and the service was pretty fast.’ | Bad | False |
‘Service sucks.’ | Good | False |
“Hard to judge whether these sides were good because we were grossed out by the melted styrofoam and didn’t want to eat it for fear of getting sick.” | Good | False |
‘Bland and flavorless is a good way of describing the barely tepid meat.’ | Bad | True |
‘The vanilla ice cream was creamy and smooth while the profiterole (choux) pastry was fresh enough.’ | Good | True |
“The servers are not pleasant to deal with and they don’t always honor Pizza Hut coupons.” | Bad | True |
‘Lobster Bisque, Bussell Sprouts, Risotto, Filet ALL needed salt and pepper..and of course there is none at the tables.’ | Bad | True |
“The chains, which I’m no fan of, beat this place easily.” | Bad | True |
‘I consider this theft.’ | Good | False |
‘This is one of the best bars with food in Vegas.’ | Good | True |
‘I'm so happy to be here!!!”’ | Good | True |
‘the spaghetti is nothing special whatsoever.’ | Good | False |
‘We were promptly greeted and seated.’ | Good | True |
‘If you want to wait for mediocre food and downright terrible service, then this is the place for you.’ | Good | False |
‘The manager was the worst.’ | Bad | True |
‘Total letdown, I would much rather just go to the Camelback Flower Shop and Cartel Coffee.’ | Bad | True |
“We’ll never go again.” | Bad | True |
‘I had the opportunity today to sample your amazing pizzas!’ | Good | True |
“Maybe it’s just their Vegetarian fare, but I’ve been twice and I thought it was average at best.” | Good | False |
‘Nothing special.’ | Good | False |
‘After I pulled up my car I waited for another 15 minutes before being acknowledged.’ | Bad | True |
‘The descriptions said “yum yum sauce” and another said “eel sauce”, yet another said “spicy mayo”…well NONE of the rolls had sauces on them.’ | Good | False |
‘The food, amazing.’ | Good | True |
‘Avoid at all cost!’ | Bad | True |
‘Great atmosphere, friendly and fast service.’ | Good | True |
‘We waited an hour for what was a breakfast I could have done 100 times better at home.’ | Bad | True |
‘My boyfriend and i sat at the bar and had a completely delightful experience.’ | Good | True |
‘Same evening, him and I are both drastically sick.’ | Good | False |
‘I heart this place.’ | Bad | False |
‘Never going back.’ | Bad | True |
‘Sooooo good!!’ | Good | True |
‘Then our food came out, disappointment ensued.’ | Bad | True |
‘Now the pizza itself was good the peanut sauce was very tasty.’ | Good | True |
“Ryan’s Bar is definitely one Edinburgh establishment I won’t be revisiting.” | Good | False |
‘Awful service.’ | Bad | True |
‘The food was excellent and service was very good.’ | Good | True |
‘Ordered a double cheeseburger & got a single patty that was falling apart (picture uploaded) Yeah, still sucks.’ | Bad | True |
‘Definitely not worth the $3 I paid.’ | Bad | True |
‘Service was exceptional and food was a good as all the reviews.’ | Good | True |
‘Never been to Hard Rock Casino before, WILL NEVER EVER STEP FORWARD IN IT AGAIN!’ | Bad | True |
‘My gyro was basically lettuce only.’ | Bad | True |
‘My friend did not like his Bloody Mary.’ | Bad | True |
‘I swung in to give them a try but was deeply disappointed.’ | Bad | True |
‘Pretty cool I would say.’ | Bad | False |
‘Everyone is very attentive, providing excellent customer service.’ | Good | True |
‘My drink was never empty and he made some really great menu suggestions.’ | Good | True |
‘The scallop dish is quite appalling for value as well.’ | Good | False |
‘The sergeant pepper beef sandwich with auju sauce is an excellent sandwich as well.’ | Good | True |
‘Food was so gooodd.’ | Bad | False |
‘I ate there twice on my last visit, and especially enjoyed the salmon salad.’ | Good | True |
‘The service was not up to par, either.’ | Bad | True |
‘I was disgusted because I was pretty sure that was human hair.’ | Bad | True |
‘Best tacos in town by far!!’ | Good | True |
“I won’t be back.” | Bad | True |
‘To my disbelief, each dish qualified as the worst version of these foods I have ever tasted.’ | Bad | True |
“I started this review with two stars, but I’m editing it to give it only one.” | Bad | True |
‘will definitely be back!’ | Good | True |
‘This greedy corporation will NEVER see another dime from me!’ | Bad | True |
‘It was not good.’ | Bad | True |
‘There is nothing authentic about this place.’ | Bad | True |
‘Waiter was a jerk.’ | Bad | True |
‘Tonight I had the Elk Filet special…and it sucked.’ | Good | False |
“I’m not eating here!” | Bad | True |
“My fella got the huevos rancheros and they didn’t look too appealing.” | Bad | True |
‘i felt insulted and disrespected, how could you talk and judge another human being like that?’ | Bad | True |
‘And the chef was generous with his time (even came around twice so we can take pictures with him).’ | Good | True |
“I’ve lived here since 1979 and this was the first (and last) time I’ve stepped foot into this place.” | Good | False |
‘Of all the dishes, the salmon was the best, but all were great.’ | Good | True |
“The place was fairly clean but the food simply wasn’t worth it.” | Bad | True |
‘A fantastic neighborhood gem !!!’ | Good | True |
“Don’t waste your time here.” | Bad | True |
‘My side Greek salad with the Greek dressing was so tasty, and the pita and hummus was very refreshing.’ | Good | True |
‘Both of the egg rolls were fantastic.’ | Good | True |
“The goat taco didn’t skimp on the meat and wow what FLAVOR!” | Bad | False |
‘Overall, I was very disappointed with the quality of food at Bouchon.’ | Bad | True |
‘Although I very much liked the look and sound of this place, the actual experience was a bit disappointing.’ | Bad | True |
‘If you love authentic Mexican food and want a whole bunch of interesting, yet delicious meats to choose from, you need to try this place.’ | Good | True |
‘Great pork sandwich.’ | Good | True |
“They have horrible attitudes towards customers, and talk down to each one when customers don’t enjoy their food.” | Bad | True |
‘-Drinks took close to 30 minutes to come out at one point.’ | Bad | True |
‘I can take a little bad service but the food sucks.’ | Bad | True |
‘The food was delicious, our bartender was attentive and personable AND we got a great deal!’ | Good | True |
‘Bacon is hella salty.’ | Good | True |
“I’ll definitely be in soon again.” | Good | True |
‘The first time I ever came here I had an amazing experience, I still tell people how awesome the duck was.’ | Good | True |
‘The ripped banana was not only ripped, but petrified and tasteless.’ | Bad | True |
‘Sauce was tasteless.’ | Bad | True |
‘Weird vibe from owners.’ | Good | False |
‘I know this is not like the other restaurants at all, something is very off here!’ | Bad | True |
‘Very Very Disappointed ordered the $35 Big Bay Plater.’ | Bad | True |
‘It sure does beat the nachos at the movies but I would expect a little bit more coming from a restaurant.’ | Bad | True |
‘The cow tongue and cheek tacos are amazing.’ | Good | True |
‘I have been to very few places to eat that under no circumstances would I ever return to, and this tops the list.’ | Bad | True |
“I promise they won’t disappoint.” | Bad | False |
‘I loved the bacon wrapped dates.’ | Good | True |
‘As always the evening was wonderful and the food delicious!’ | Good | True |
‘I would definitely recommend the wings as well as the pizza.’ | Good | True |
‘He was extremely rude and really, there are so many other restaurants I would love to dine at during a weekend in Vegas.’ | Bad | True |
‘So flavorful and has just the perfect amount of heat.’ | Good | True |
‘Update…..went back for a second time and it was still just as amazing’ | Good | True |
‘not even a “hello, we will be right with you.”’ | Good | False |
‘Nargile - I think you are great.’ | Good | True |
‘Cant say enough good things about this place.’ | Good | True |
“After all the rave reviews I couldn’t wait to eat here……what a disappointment!” | Bad | True |
‘Will go back next trip out.’ | Good | True |
‘Waitress was a little slow in service.’ | Bad | True |
‘The cashier was friendly and even brought the food out to me.’ | Good | True |
‘Total brunch fail.’ | Bad | True |
‘The waitresses are very friendly.’ | Good | True |
Vocabulary
{‘tried’: 1612, ‘puréed’: 1217, ‘time’: 1579, ‘hopes’: 754, ‘towards’: 1603, ‘sadly’: 1311, ‘management’: 931, ‘reheated’: 1268, ‘velvet’: 1663, ‘head’: 716, ‘bit’: 175, ‘gratuity’: 663, ‘our’: 1080, ‘haunt’: 711, ‘quite’: 1226, ‘insults’: 806, ‘mind’: 975, ‘register’: 1265, ‘including’: 789, ‘entrees’: 510, ‘sun’: 1508, ‘later’: 855, ‘steak’: 1465, ‘busy’: 232, ‘got’: 657, ‘carpaccio’: 257, ‘four’: 605, ‘unhealthy’: 1637, ‘charged’: 271, ‘boiled’: 193, ‘building’: 223, ‘he’: 715, ‘military’: 971, ‘reminds’: 1275, ‘key’: 834, ‘recommending’: 1258, ‘seemed’: 1352, ‘bus’: 229, ‘combination’: 311, ‘everything’: 522, ‘pecan’: 1131, ‘boys’: 207, ‘happened’: 701, ‘flavorless’: 588, ‘chewy’: 281, ‘blows’: 189, ‘complete’: 321, ‘mgm’: 966, ‘asked’: 92, ‘giant’: 641, ‘char’: 268, ‘that’: 1549, ‘latte’: 856, ‘in’: 787, ‘hard’: 704, ‘lobster’: 889, ‘performed’: 1137, ‘why’: 1728, ‘sexy’: 1372, ‘cash’: 259, ‘review’: 1285, ‘especially’: 512, ‘fuzzy’: 629, ‘email’: 498, ‘bill’: 169, ‘unexperienced’: 1635, ‘lots’: 901, ‘omg’: 1058, ‘pulled’: 1214, ‘workers’: 1748, ‘sense’: 1357, ‘monster’: 989, ‘remember’: 1273, ‘tater’: 1535, ‘30’: 9, ‘drink’: 467, ‘clue’: 303, ‘neighborhood’: 1020, ‘taste’: 1531, ‘seat’: 1346, ‘bad’: 118, ‘side’: 1391, ‘wants’: 1691, ‘seafood’: 1341, ‘vain’: 1653, ‘times’: 1580, ‘for’: 600, ‘wall’: 1687, ‘fruit’: 620, ‘all’: 43, ‘contain’: 331, ‘imaginative’: 780, ‘haven’: 713, ‘without’: 1740, ‘isn’: 813, ‘whole’: 1727, ‘guacamole’: 681, ‘lined’: 881, ‘small’: 1409, ‘right’: 1294, ‘need’: 1015, ‘worst’: 1753, ‘nude’: 1039, ‘she’: 1376, ‘rings’: 1295, ‘flair’: 583, ‘bakery’: 120, ‘yummy’: 1776, ‘correction’: 341, ‘dough’: 456, ‘ground’: 678, ‘expect’: 530, ‘tracked’: 1605, ‘par’: 1113, ‘cheated’: 274, ‘40’: 12, ‘use’: 1649, ‘fluffy’: 594, ‘steakhouse’: 1466, ‘tummy’: 1621, ‘toro’: 1596, ‘its’: 816, ‘leftover’: 864, ‘over’: 1090, ‘assure’: 94, ‘claimed’: 294, ‘public’: 1211, ‘quickly’: 1224, ‘bite’: 177, ‘whenever’: 1721, ‘selection’: 1354, ‘alone’: 47, ‘bucks’: 220, ‘glad’: 644, ‘customer’: 376, ‘gross’: 677, ‘tip’: 1582, ‘day’: 385, ‘fine’: 576, ‘rowdy’: 1305, ‘homemade’: 747, ‘attached’: 99, ‘smoke’: 1415, ‘watch’: 1700, ‘wound’: 1757, ‘know’: 841, ‘bean’: 141, ‘mirage’: 977, ‘these’: 1557, ‘give’: 642, ‘recently’: 1254, ‘bland’: 182, ‘accordingly’: 29, ‘past’: 1121, ‘hearts’: 721, ‘too’: 1592, ‘salads’: 1316, ‘those’: 1570, ‘creamy’: 363, ‘businesses’: 231, ‘pissd’: 1151, ‘it’: 814, ‘positive’: 1180, ‘some’: 1421, ‘yellow’: 1767, ‘one’: 1061, ‘opened’: 1065, ‘lastly’: 853, ‘added’: 33, ‘hunan’: 769, ‘temp’: 1539, ‘where’: 1722, ‘chip’: 285, ‘managed’: 930, ‘appetite’: 75, ‘caesar’: 239, ‘fridays’: 612, ‘either’: 494, ‘perhaps’: 1138, ‘shoots’: 1380, ‘rib’: 1290, ‘biggest’: 168, ‘play’: 1163, ‘hits’: 743, ‘airport’: 40, ‘rge’: 1288, ‘stupid’: 1492, ‘mellow’: 959, ‘gringos’: 674, ‘soundtrack’: 1434, ‘blow’: 188, ‘imagined’: 782, ‘simply’: 1399, ‘minutes’: 976, ‘deserves’: 409, ‘excellent’: 527, ‘japanese’: 820, ‘tribute’: 1611, ‘sandwiches’: 1324, ‘insanely’: 800, ‘end’: 502, ‘thumbs’: 1576, ‘denny’: 408, ‘moz’: 998, ‘mac’: 916, ‘similarly’: 1397, ‘ll’: 888, ‘buldogis’: 224, ‘music’: 1006, ‘owned’: 1096, ‘owners’: 1098, ‘carly’: 256, ‘concern’: 325, ‘ate’: 96, ‘eew’: 488, ‘songs’: 1428, ‘chai’: 266, ‘shower’: 1388, ‘gas’: 632, ‘looking’: 896, ‘cannot’: 249, ‘quantity’: 1222, ‘dog’: 445, ‘out’: 1082, ‘thus’: 1577, ‘wasn’: 1696, ‘diverse’: 442, ‘strange’: 1480, ‘die’: 419, ‘perfect’: 1134, ‘week’: 1711, ‘bruschetta’: 218, ‘ayce’: 113, ‘nothing’: 1037, ‘desserts’: 414, ‘cannoli’: 248, ‘ramsey’: 1227, ‘working’: 1749, ‘tender’: 1541, ‘cooked’: 337, ‘dine’: 421, ‘ever’: 519, ‘were’: 1716, ‘classy’: 298, ‘dead’: 386, ‘metro’: 964, ‘breakfast’: 210, ‘trip’: 1614, ‘leather’: 860, ‘combos’: 313, ‘roasted’: 1298, ‘fresh’: 611, ‘hospitality’: 757, ‘prepared’: 1190, ‘orders’: 1074, ‘cocktails’: 305, ‘late’: 854, ‘beyond’: 165, ‘informative’: 798, ‘penne’: 1132, ‘nut’: 1040, ‘profound’: 1204, ‘wish’: 1738, ‘cranberry’: 358, ‘solid’: 1419, ‘mention’: 961, ‘further’: 628, ‘little’: 885, ‘playing’: 1164, ‘00’: 0, ‘jamaican’: 819, ‘steaks’: 1467, ‘pumpkin’: 1215, ‘pricey’: 1197, ‘owner’: 1097, ‘wines’: 1734, ‘teamwork’: 1537, ‘point’: 1171, ‘guess’: 682, ‘pizzas’: 1154, ‘dusted’: 480, ‘greens’: 670, ‘naan’: 1011, ‘than’: 1547, ‘garden’: 630, ‘unwrapped’: 1645, ‘refrained’: 1263, ‘pears’: 1130, ‘inexpensive’: 796, ‘real’: 1244, ‘stop’: 1477, ‘cod’: 307, ‘tartar’: 1529, ‘gave’: 633, ‘fan’: 551, ‘poor’: 1174, ‘wave’: 1704, ‘best’: 162, ‘location’: 891, ‘fs’: 623, ‘reservation’: 1278, ‘sitting’: 1403, ‘twice’: 1626, ‘nearly’: 1014, ‘gourmet’: 659, ‘bitches’: 176, ‘meat’: 950, ‘app’: 73, ‘ball’: 121, ‘did’: 417, ‘grease’: 664, ‘eclectic’: 486, ‘saganaki’: 1313, ‘buffets’: 222, ‘paper’: 1111, ‘cant’: 250, ‘waste’: 1697, ‘gotten’: 658, ‘papers’: 1112, ‘officially’: 1050, ‘short’: 1383, ‘khao’: 835, ‘try’: 1618, ‘spotty’: 1453, ‘left’: 863, ‘awful’: 110, ‘establishment’: 513, ‘serving’: 1366, ‘definitely’: 399, ‘anticipated’: 63, ‘dish’: 439, ‘deal’: 387, ‘should’: 1385, ‘bother’: 199, ‘bargain’: 127, ‘shawarrrrrrma’: 1375, ‘even’: 516, ‘venture’: 1665, ‘andddd’: 59, ‘kabuki’: 832, ‘yay’: 1764, ‘fact’: 544, ‘ve’: 1656, ‘simple’: 1398, ‘screams’: 1339, ‘yellowtail’: 1768, ‘outta’: 1088, ‘arrives’: 87, ‘ask’: 91, ‘count’: 346, ‘reading’: 1243, ‘huge’: 767, ‘seal’: 1342, ‘delicioso’: 402, ‘wasting’: 1699, ‘or’: 1070, ‘upgrading’: 1647, ‘life’: 872, ‘known’: 842, ‘texture’: 1545, ‘vodka’: 1675, ‘mojitos’: 986, ‘quaint’: 1220, ‘pasta’: 1122, ‘return’: 1282, ‘potato’: 1183, ‘wrap’: 1759, ‘biscuit’: 172, ‘hated’: 710, ‘eyes’: 542, ‘requested’: 1277, ‘might’: 969, ‘lunch’: 915, ‘list’: 882, ‘steiners’: 1468, ‘down’: 458, ‘sticks’: 1471, ‘the’: 1551, ‘legit’: 865, ‘smelled’: 1413, ‘look’: 894, ‘away’: 108, ‘exceeding’: 526, ‘others’: 1077, ‘fellow’: 565, ‘outrageously’: 1084, ‘attack’: 100, ‘elegantly’: 495, ‘street’: 1483, ‘genuinely’: 637, ‘ambience’: 54, ‘delish’: 406, ‘we’: 1708, ‘instead’: 804, ‘free’: 608, ‘bits’: 179, ‘piece’: 1147, ‘before’: 153, ‘refill’: 1262, ‘folks’: 597, ‘bought’: 201, ‘99’: 20, ‘palm’: 1106, ‘trimmed’: 1613, ‘gristle’: 675, ‘soup’: 1435, ‘restaraunt’: 1279, ‘fondue’: 598, ‘wouldn’: 1756, ‘redeeming’: 1260, ‘disapppointment’: 432, ‘portion’: 1178, ‘decide’: 390, ‘disgust’: 437, ‘servers’: 1362, ‘area’: 81, ‘couldn’: 345, ‘hip’: 739, ‘prices’: 1196, ‘fry’: 622, ‘mains’: 924, ‘23’: 8, ‘pace’: 1100, ‘hands’: 700, ‘writing’: 1760, ‘attentive’: 101, ‘puree’: 1216, ‘talk’: 1525, ‘mediocre’: 953, ‘noca’: 1030, ‘spends’: 1444, ‘perfectly’: 1136, ‘bacon’: 117, ‘taco’: 1520, ‘stuff’: 1490, ‘italian’: 815, ‘total’: 1597, ‘about’: 21, ‘lost’: 899, ‘covers’: 353, ‘my’: 1009, ‘consistent’: 329, ‘bottom’: 200, ‘receives’: 1252, ‘grain’: 660, ‘waaaaaayyyyyyyyyy’: 1679, ‘daily’: 380, ‘charcoal’: 269, ‘companions’: 318, ‘looks’: 897, ‘afternoon’: 36, ‘wanted’: 1690, ‘blue’: 190, ‘behind’: 155, ‘says’: 1335, ‘despicable’: 411, ‘fireball’: 578, 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